因为选择，所以喜欢！

如何让word表格不自动分页（整个表格显示在同一页里）

Hailer — Thu, 17 May 2012 03:15:14 +0000

正确方法：
选中整个表格，“格式” – “段落” – “换行与分页” ：选中“与下段同页”

p.s. 表格长度不能超过一页

2011-2012世界大学排行榜（前200）

Hailer — Fri, 04 May 2012 05:03:44 +0000

Rank	Name	中文	Country/Region	国家/地区	总评得分
1	California Institute of Technology	加州理工学院	United States	美国	94.8
2	Harvard University	哈佛大学	United States	美国	93.9
2	Stanford University	斯坦福大学	United States	美国	93.9
4	University of Oxford	牛津大学	United Kingdom	英国	93.6
5	Princeton University	普林斯顿大学	United States	美国	92.9
6	University of Cambridge	剑桥大学	United Kingdom	英国	92.4
7	Massachusetts Institute of Technology	麻省理工学院	United States	美国	92.3
8	Imperial College London	帝国理工	United Kingdom	英国	90.7
9	University of Chicago	芝加哥大学	United States	美国	90.2
10	University of California, Berkeley	加州大学伯克利分校	United States	美国	89.8
11	Yale University	耶鲁大学	United States	美国	89.1
12	Columbia University	哥伦比亚大学	United States	美国	87.5
13	University of California, Los Angeles	加州大学洛杉矶分校	United States	美国	87.3
14	Johns Hopkins University	约翰。霍普金斯大学	United States	美国	85.8
15	ETH Zürich - Swiss Federal Institute of Technology Zürich	瑞士联邦理工学院-苏黎世	Switzerland	瑞士	85
16	University of Pennsylvania	宾夕法尼亚大学	United States	美国	84.9
17	University College London	伦敦大学学院	United Kingdom	英国	83.2
18	University of Michigan	密歇根州立大学	United States	美国	82.8
19	University of Toronto	多伦多大学	Canada	加拿大	81.6
20	Cornell University	康奈尔大学	United States	美国	80.5
21	Carnegie Mellon University	卡耐基梅隆大学	United States	美国	78.4
22	University of British Columbia	英属哥伦比亚大学	Canada	加拿大	77.4
22	Duke University	杜克大学	United States	美国	77.4
24	Georgia Institute of Technology	佐治亚理工学院	United States	美国	77
25	University of Washington	华盛顿大学	United States	美国	76.5
26	Northwestern University	西北大学	United States	美国	76.2
27	University of Wisconsin-Madison	威斯康辛麦迪逊大学	United States	美国	75.8
28	McGill University	麦吉尔大学	Canada	加拿大	75.5
29	University of Texas at Austin	德克萨斯州大学奥斯汀分校	United States	美国	74.9
30	University of Tokyo	东京大学	Japan	日本	74.3
31	University of Illinois at Urbana Champaign	伊利诺伊大学厄巴纳-香槟分校	United States	美国	74.2
32	Karolinska Institute	卡罗林斯卡学院	Sweden	瑞典	73.1
33	University of California, San Diego	加州大学圣迭戈分校	United States	美国	73
34	University of Hong Kong	香港大学	Hong Kong	中国香港	72.3
35	University of California, Santa Barbara	加州大学圣芭芭拉分校	United States	美国	72.1
36	University of Edinburgh	爱丁堡大学	United Kingdom	英国	72
37	University of Melbourne	墨尔本大学	Australia	澳大利亚	71.9
38	Australian National University	澳大利亚国立大学	Australia	澳大利亚	71.2
38	University of California, Davis	加州大学戴维斯分校	United States	美国	71.2
40	National University of Singapore	新加坡国立大学	Singapore	新加坡	70.9
41	Washington University in St Louis	圣路易斯华盛顿大学	United States	美国	70.5
42	University of Minnesota	明尼苏达大学	United States	美国	70
43	University of North Carolina at Chapel Hill	北卡罗来纳州大学教堂山分校	United States	美国	69.3
44	New York University	纽约大学	United States	美国	69
45	Ludwig-Maximilians-Universität München	慕尼黑大学	Germany	德国	67.6
46	École Polytechnique Fédérale de Lausanne	洛桑联邦高等工业学院	Switzerland	瑞士	66.3
47	London School of Economics and Political Science	伦敦政治经济学院	United Kingdom	英国	66
48	University of Manchester	曼彻斯特大学	United Kingdom	英国	65.7
49	Brown University	布朗大学	United States	美国	65.6
49	Peking University	北京大学	China	中国	65.6
51	Pennsylvania State University	宾州州立大学	United States	美国	64.9
52	Kyoto University	京都大学	Japan	日本	64.8
53	Pohang University of Science and Technology	浦项科技大学	Republic of Korea	韩国	64.6
54	Boston University	波士顿大学	United States	美国	64.2
55	University of Southern California	南加利福尼亚大学	United States	美国	64
56	King's College London	伦敦大学国王学院	United Kingdom	英国	63.2
57	Ohio State University	俄亥俄州立大学	United States	美国	63
58	University of Sydney	悉尼大学	Australia	澳大利亚	62.4
59	École Normale Supérieure	巴黎高等师范大学	France	法国	62
59	University of Pittsburgh	匹兹堡大学	United States	美国	62
61	University of Zürich	苏黎世大学	Switzerland	瑞士	61.9
62	Hong Kong University of Science and Technology	香港科技大学	Hong Kong	中国香港	61.7
63	École Polytechnique	巴黎高等理工学院	France	法国	61.5
64	University of Massachusetts	马萨诸塞大学	United States	美国	61.1
65	McMaster University	麦克马斯特大学	Canada	加拿大	61
66	University of Bristol	布里斯托大学	United Kingdom	英国	60.9
67	Katholieke Universiteit Leuven	比利时天主教鲁汶大学	Belgium	比利时	60.8
68	Utrecht University	荷兰乌特列支大学	Netherlands	荷兰	60.4
69	Georg-August-Universität Göttingen	哥廷根大学	Germany	德国	60.3
70	Vanderbilt University	范德堡大学	United States	美国	59.6
71	Tsinghua University	清华大学	China	中国	59.5
72	Rice University	莱斯大学	United States	美国	59
73	Universität Heidelberg	海德堡大学	Germany	德国	58.7
74	University of Queensland Australia	昆士兰大学	Australia	澳大利亚	58.6
75	Emory University	埃默里大学	United States	美国	57.4
75	Wageningen University and Research Center	瓦格宁根大学	Netherlands	荷兰	57.4
77	University of Colorado Boulder	科罗拉多大学波尔得分校	United States	美国	57.3
77	Tufts University	塔夫斯大学	United States	美国	57.3
79	Leiden University	莱顿大学	Netherlands	荷兰	57
80	Lund University	隆德大学	Sweden	瑞典	56.9
81	University of Rochester	罗彻斯特大学	United States	美国	56.8
81	Rutgers, The State University of New Jersey	罗格斯，新泽西州立大学	United States	美国	56.8
83	Durham University	杜伦大学	United Kingdom	英国	56.4
84	Université Pierre et Marie Curie	巴黎第六大学	France	法国	56
85	University of St Andrews	圣安德鲁斯大学	United Kingdom	英国	55.7
86	University of California, Irvine	加州大学欧文分校	United States	美国	55.4
87	Uppsala University	乌普萨拉大学	Sweden	瑞典	55.2
88	Technische Universität München	慕尼黑工业大学	Germany	德国	55.1
89	University of Notre Dame	圣母大学	United States	美国	55
90	Dartmouth College	达特茅斯大学	United States	美国	54.9
91	University of Helsinki	赫尔辛基大学	Finland	芬兰	54.8
92	University of Amsterdam	阿姆斯特丹大学	Netherlands	荷兰	54.7
93	Case Western Reserve University	凯斯西储大学	United States	美国	54.6
94	Korea Advanced Institute of Science and Technology	韩国先进科技学院	Republic of Korea	韩国	54.5
94	University of Maryland, College Park	马里兰大学帕克分校	United States	美国	54.5
96	Michigan State University	密歇根州立大学	United States	美国	54.4
97	University of Arizona	亚利桑那大学	United States	美国	54.2
98	Purdue University	普渡大学	United States	美国	54
99	University of Sussex	苏塞克斯大学	United Kingdom	英国	53.9
100	University of Alberta	阿尔伯塔大学	Canada	加拿大	53.7
101	University of Sheffield	谢菲尔德大学	United Kingdom	英国	53.6
102	University of Glasgow	格拉斯哥大学	United Kingdom	英国	53.4
103	University of Cape Town	南非开普敦大学	South Africa	南非	53.2
104	Delft University of Technology	代尔夫特理工大学	Netherlands	荷兰	53.1
104	University of Montreal	蒙特利尔大学	Canada	加拿大	53.1
106	Ghent University	根特大学	Belgium	比利时	53
107	Royal Holloway, University of London	伦敦大学皇家霍洛威学院	United Kingdom	英国	52.9
108	Tokyo Institute of Technology	东京工业大学	Japan	日本	52.8
109	Humboldt-Universität zu Berlin	柏林洪堡大学	Germany	德国	52.6
110	University of California, Santa Cruz	加州大学圣克鲁兹分校	United States	美国	52.5
111	Universität Basel	巴塞尔大学	Switzerland	瑞士	52.2
112	University of Bern	伯尔尼大学	Switzerland	瑞士	52.1
113	University of Utah	犹他大学	United States	美国	51.9
114	Stony Brook University	纽约州立大学石溪分校	United States	美国	51.4
115	Eindhoven University of Technology	荷兰爱因霍芬科技大学	Netherlands	荷兰	51.3
116	Université de Lausanne	洛桑大学	Switzerland	瑞士	51.2
117	Monash University	莫纳什大学	Australia	澳大利亚	51.1
117	Trinity College Dublin	都柏林圣三一学院	Republic of Ireland	爱尔兰	51.1
119	Osaka University	大阪大学	Japan	日本	51
120	Tohoku University	东北大学	Japan	日本	50.8
121	Hebrew University of Jerusalem	耶路撒冷希伯来大学	Israel	以色列	50.4
121	University of York	约克大学	United Kingdom	英国	50.4
123	Indiana University	印第安纳大学	United States	美国	50.2
124	Seoul National University	韩国首尔国立大学	Republic of Korea	韩国	50.1
125	Aarhus University	奥胡斯大学	Denmark	丹麦	50
125	University of Florida	佛罗里达大学	United States	美国	50
127	Arizona State University	亚利桑拿州立大学	United States	美国	49.9
127	Queen Mary, University of London	伦敦大学女王学院	United Kingdom	英国	49.9
127	University of Southampton	南安普顿大学	United Kingdom	英国	49.9
130	University of Geneva	日内瓦大学	Switzerland	瑞士	49.8
131	Lancaster University	兰卡斯特大学	United Kingdom	英国	49.7
131	Stockholm University	斯德哥尔摩大学	Sweden	瑞典	49.7
133	University of Leeds	利兹大学	United Kingdom	英国	46.2
134	University of Groningen	格罗宁根大学	Netherlands	荷兰	49.2
135	University of Copenhagen	哥本哈根大学	Denmark	丹麦	49
135	George Washington University	乔治华盛顿大学	United States	美国	49
135	University of Virginia	弗吉尼亚大学	United States	美国	49
138	Georgetown University	乔治城大学	United States	美国	48
139	University of Vienna	维也纳大学	Austria	奥地利	47.9
140	University of Nottingham	诺丁汉大学	United Kingdom	英国	47.7
141	École Normale Supérieure de Lyon	里昂高等师范学院	France	法国	47.6
141	University of Iowa	爱荷华大学	United States	美国	47.6
143	University of California, Riverside	加州大学河滨分校	United States	美国	47.5
144	Rensselaer Polytechnic Institute	伦斯勒理工学院	United States	美国	47.4
145	University of East Anglia	东英吉利大学	United Kingdom	英国	47.3
146	Newcastle University	纽卡斯尔大学	United Kingdom	英国	47
146	William & Mary	威廉玛丽学院	United States	美国	47
148	University of Birmingham	伯明翰大学	United Kingdom	英国	46.9
149	Birkbeck, University of London	伦敦大学伯克贝克学院	United Kingdom	英国	46.8
150	Brandeis University	布兰迪斯大学	United States	美国	46.7
151	University of Aberdeen	阿伯丁大学	United Kingdom	英国	46.6
151	Chinese University of Hong Kong	香港中文大学	Hong Kong	中国香港	46.6
151	Freie Universität Berlin	柏林自由大学	Germany	德国	46.6
154	National Taiwan University	国立台湾大学	Taiwan	中国台湾	46.2
154	Yeshiva University	叶史瓦大学	United States	美国	46.2
156	University of Exeter	埃克赛特大学	United Kingdom	英国	46.1
157	Erasmus University Rotterdam	鹿特丹大学	Netherlands	荷兰	46
157	University of Warwick	华威大学	United Kingdom	英国	46
159	University College Dublin	都柏林大学	Republic of Ireland	爱尔兰	45.9
159	Radboud University Nijmegen	内梅亨大学	Netherlands	荷兰	45.9
159	VU University Amsterdam	阿姆斯特丹自由大学	Netherlands	荷兰	45.9
162	Medical University of South Carolina	南卡罗莱纳医科大学	United States	美国	45.8
162	Wake Forest University	威克森林大学	United States	美国	45.8
164	University of Reading	雷丁大学	United Kingdom	英国	45.7
164	Texas A&M University	德克萨斯A&M大学	United States	美国	45.7
166	Tel Aviv University	特来维夫大学	Israel	以色列	45.4
167	University of Illinois at Chicago	伊利诺伊大学芝加哥分校	United States	美国	45.2
168	RWTH Aachen University	亚琛工业大学	Germany	德国	45.1
169	Université Catholique de Louvain	鲁汶大学	Belgium	比利时	45
169	Nanyang Technological University	新加坡南洋理工大学	Singapore	新加坡	45
169	Université Paris Diderot - Paris 7	巴黎第七大学	France	法国	45
172	University of Miami	迈阿密大学	United States	美国	44.8
173	University of Auckland	新西兰奥克兰大学	New Zealand	新西兰	44.6
173	University of New South Wales	新南威尔士大学	Australia	澳大利亚	44.6
173	Queen's University	皇后大学	Canada	加拿大	44.6
176	University of Dundee	邓迪大学	United Kingdom	英国	44.5
177	University of Victoria	维多利亚大学	Canada	加拿大	44.2
178	University of São Paulo	圣保罗大学	Brazil	巴西	44.1
178	Technical University of Denmark	丹麦科技大学	Denmark	丹麦	44.1
180	University of Delaware	特拉华大学	United States	美国	43.8
181	Johann Wolfgang Goethe-Universität Frankfurt am Main	法兰克福大学	Germany	德国	43.6
181	University of Liverpool	利物浦大学	United Kingdom	英国	43.6
181	University of Oslo	奥斯陆大学	Norway	挪威	43.6
184	Iowa State University	爱荷华州立大学	United States	美国	43.4
185	University of Ottawa	渥太华大学	Canada	加拿大	43.2
186	Pompeu Fabra University	庞培法布拉大学	Spain	西班牙	43.1
187	KTH Royal Institute of Technology	瑞典皇家理工学院	Sweden	瑞典	43
187	Eberhard Karls Universität Tübingen	德国蒂宾根大学	Germany	德国	43
189	Albert-Ludwigs-Universität Freiburg	弗莱堡大学	Germany	德国	42.9
189	University of Western Australia	西澳大学	Australia	澳大利亚	42.9
191	University of Bergen	卑尔根大学	Norway	挪威	42.8
192	University of Science and Technology of China	中国科技大学	China	中国	42.7
193	City University of Hong Kong	香港城市大学	Hong Kong	中国香港	42.6
194	Universität Konstanz	康斯坦茨大学	Germany	德国	42.5
195	Boston College	波士顿学院	United States	美国	42.4
196	Karlsruhe Institute of Technology	卡尔斯鲁厄大学	Germany	德国	41.6
197	Georgia Health Sciences University	佐治亚健康科学大学	United States	美国	41.5
197	University of Leicester	莱斯特大学	United Kingdom	英国	41.5
197	Maastricht University	马斯特里赫特大学	Netherlands	荷兰	41.5
200	University of Twente	荷兰屯特大学	Netherlands	荷兰	41.4

题注编号格式“图一.1”替换为“图 1.1”

Hailer — Sun, 22 Apr 2012 02:56:05 +0000

转载于http://hi.baidu.com/yybear505/blog/item/9e84b403dcf5f5054bfb51be.html

大体分2类：1，word有MathType；2，word无MathType。区别仅在于MathType有即插入新章节分段

不管哪类，基本的思路如下：
1，用{ SEQ MTChap \c }替换所有{ STYLEREF 1 \S }
2，在每一章开始位置插入章节分段按钮（有MT）；插入域代码{ SEQ MTChap \c }（无MT）
3，更新所有域：ALT+F9返回域结果，CTRL+A后F9更新所有域

word有MathType的情况

点击MathType常用工具栏上的章节分段按钮，或者MathType菜单项中的“Insert Chapter/Section Break”和“Insert Next Chapter Break”即可完成步骤2的插入章节分段。有MathType时就不需要我们再手动插入域代码{ SEQ MTChap \c }，另外记住每一章只能插入一次章节分段按钮，如果之前编辑公式时你已经插入，就不必也不准再次插入。

在章的开始位置插入MathType章节分段或者插入域代码{ SEQ seq \h }，因此统一为都在章标题同行处插入。（其实每一章第1个图之前，前一章最后一个图编号之后，只要符合要求都可以）

如果修改完成后，有时又在文档中插入新的图表，这时候文档中的图表编号会是一团糟，但是不着急。具体修改步骤见MathType自动更改题注章节编号格式“图一.1”为“图1.1”中最后“再次插入图片时，修改编号具体步骤”或者借鉴本章的最后“再次插入图片时，修改编号具体步骤”。再次修改的思想简单：删除所有{ SEQ MTChap \c}，然后用它再去替换所有{ STYLEREF 1 \S }。

要了解具体利用MathType更改编号请查看MathType自动更改题注章节编号格式“图一.1”为“图1.1”有图示步骤

word无MathType：分3步完成

步骤1，用{ SEQ seq \c}替换所有的{ STYLEREF 1 \S }。
步骤2，有图表的每一章开始位置插入域代码{ SEQ seq \h }。
步骤3，更新所有域。

seq和MTChap相当于是同一个人的两个名字而已，所以在此你也可以继续使用MTChap

具体实施方法一：

1，文档空白处CTRL+F9出现{ }，在光标处输入引号里的字符“SEQ空格seq空格\c”。选中整个{ SEQ seq \c}，Ctrl+C。

2，ALT+F9显示域代码，CTRL+H弹出“替换”选项卡，在“查找内容”中输入引号中的字符“^d空格STYLEREF空格1空格\s”。在“替换为”框中输入^c即剪贴板内容。点击“全部替换”后关闭即可。

3，回到先前输入{ SEQ seq \c }的地方，将c换为h。选中整个{ SEQ seq \h }，Ctrl+x。

4，在有图表的每一章的开始位置只需用一次Ctrl+v。

5，最后更新域即可。

具体实施方法一的注意事项：

1，空格即是让你输入半角状态下的空格。

2，“选中整个{ SEQ seq \c}”意思是{}外面的一切哪怕是空格都不要选，但{}要选中。

3，在“替换为”框里键入^c，不能直接用CTRL+v，否则你将会看见对人类贡献最大的数字0而已。

4，这里只是很仔细地说明了如何替换的步骤，并不是非要按说明的步骤去替换，根据自己的喜好合理安排，找到适合自己的方法即可。比如对于第1步，你可以选择在第一章同行处或者第一章的第1个图出现之前的任意位置Ctrl+F9，然后输入域代码，如果你这样做，那么后面Ctrl+x“{ SEQ seq \h }”就得改用Ctrl+v了。然后从第二章开始每一章进行一次Ctrl+v。

具体实施方法二：（相对于方法一，省去查找内容框手动输入）

1，光标定位“图一.1”图和一的中间，ALT+F9。移动鼠标进入第一个域记号{}，复制{}里面的所有内容包括空格。

2，CTRL+H后，在“查找内容”框里输入^d，然后Ctrl+v。

3，激活文档，在任意空白处Ctrl+F9，在{}内输入“SEQ seq \c”。选中整个{ SEQ seq \c}，Ctrl+C。

4，回到“替换”选项卡，在“替换为”框里输入^c，点击全部替换后关闭。

5，然后回到先前输入{ SEQ seq \c }的地方，将c换为h。选中{ SEQ seq \h }，Ctrl+x。

6，在有图表的每一章的开始位置只需用一次Ctrl+v。

7，最后更新域即可。

具体实施方法二的注意事项：

1，“光标定位“图一.1”图和一的中间”主要是让你能直接定位{ STYLEREF 1 \S }，方便复制{ }内的代码。也可以定位于任何形如“图一.1”，比如“图一.3”等。

2，“复制{}里面的所有内容”的意思是位于{}外所有内容都不要复制包括{}在内。

其它注意事项请参照法一。

如果修改完成后，有时又在文档中插入新的图表，这时候文档中的图表编号会是一团糟，但是不着急。具体修改步骤见本章最后即可。再次修改的思想：删除所有“{ SEQ seq \c }”，再用“{ SEQ seq \c }”去替换所有{ STYLEREF 1 \S }。

下面内容为更改的思想及无MathType时的具体实现。

准备工作（您也可以不了解以下三个内容直接进入“更改步骤”查看）

章节标题设置请查看论文模板→论文章、节、小节等各级标题设置。

自动插入包含章节号的题注请查看自动添加图表序号以及生成图表目录及引用。

SEQ域代码请查看word域代码之SEQ域

SEQ原理

为“图一.1”的域代码

：单独一个此代码，域结果为1；重复5个域代码，域结果为12345。

域开关 \h：隐藏域结果；\c：重复上一个序列号。因此利用SEQ域的这两个开关既可达到我们的更改需求。小写的seq是自定义编号项目标识符,随便输但要按要求。

更改方法

只需要将每个图编号的章号域代码替换为即可，当然替换之前应在每章开始插入一个隐藏的表示编号的域代码。

更改步骤

1. 在每一章的某个位置（只要位于各章第一个图之前，前一章最后一个图的编号之后即可。为安全起见还是位于章标题处）键入“CTRL+F9”出现域记号。

2. 在每一个域记号的两空格中间依次输入“SEQ空格seq空格\h”，也可复制粘贴。第1个域结果为1，依次类推。非域代码下不显示，也就是说这是隐藏的编号。相当于在每一章开始定义一个用于图编号的章号。空格为半角状态。

3. 复制一个域代码到剪贴板

4. “Ctrl+H”弹出“替换”选项卡。“查找内容”框输入“^d空格STYLEREF空格1空格\s可有可无空格”即“^d STYLEREF 1 \s”。在“替换”框直接用“^c”即可。

5. “Alt+F9”后“Ctrl+A”再“F9”完成修改，所有形如“图一.1”变为“图 1.1”，包括插入的交叉引用。

有时认为论文已经完成，但却需要再插入一些图表时。之前更新后的规范形式“图3.4”就会跟着变成“图 3.三.4”非规范形式，而新插入的图标依旧按照非规范形式“图一.2”。文中又是乱成一团，但是不急，只要按如下步骤即可完成自动更新。

再次插入图片时，修改编号具体步骤：

a，删除之前的替换内容“{ SEQ seq \c }”

“ALT+F9”后“CTRL+H”弹出替换对话框。在查找内容框输入“{ SEQ seq \c }”，“替换为”框不输入任何符号即可完成删除。

b，以后步骤同3，4，5。其实就是再次用{ SEQ seq \c }去替换。

题后话，我们只需要等到文档不再修改时，再按照“更改步骤”进行编号的更新，以免去再次修改的麻烦。

如果读博是你唯一的选择，那么你的心态就会有问题，绝望和不安会伴随你，你也无法做到最好……当有更好的机会的时候，去那个机会比读博更好

Hailer — Fri, 30 Mar 2012 10:16:31 +0000

作者：(Yale Uninversity) Stephen C. Stearns

黑手语：很长，但是对有志读博做研究的同学很有现实意义，原文为英文，不乐意自己看英文的，已经表示你没有那种为了做学术静下心的潜力了。

Always Prepare for the Worst.

Some of the greatest catastrophes in graduate education could have been avoided by a little intelligent foresight. Be cynical. Assume that your proposed research might not work, and that one of your faculty advisers might become unsupportive – or even hostile. Plan for alternatives.

Nobody cares about you.

In fact, some professors care about you and some don’t. Most probably do, but all are busy, which means in practice they cannot care about you because they don’t have the time. You are on your own, and you had better get used to it. This has a lot of implications. Here are two important ones:

1. You had better decide early on that you are in charge of your program. The degree you get is yours to create. Your major professor can advise you and protect you to a certain extent from bureaucratic and financial demons, but he should not tell you what to do. That is up to you. If you need advice, ask for it: that’s his job.

2. If you want to pick somebody’s brains, you’ll have to go to him or her, because they won’t be coming to you.

You Must Know Why Your Work is Important.

When you first arrive, read and think widely and exhaustively for a year. Assume that everything you read is bullshit until the author manages to convince you that it isn’t. If you do not understand something, don’t feel bad – it’s not your fault, it’s the author’s. He didn’t write clearly enough.

If some authority figure tells you that you aren’t accomplishing anything because you aren’t taking courses and you aren’t gathering data, tell him what you’re up to. If he persists, tell him to bug off, because you know what you’re doing, dammit.

This is a hard stage to get through because you will feel guilty about not getting going on your own research. You will continually be asking yourself, “What am I doing here?” Be patient. This stage is critical to your personal development and to maintaining the flow of new ideas into science. Here you decide what constitutes an important problem. You must arrive at this decision independently for two reasons. First, if someone hands you a problem, you won’t feel that it is yours, you won’t have that possessiveness that makes you want to work on it, defend it, fight for it, and make it come out beautifully. Secondly, your PhD work will shape your future. It is your choice of a field in which to carry out a life’s work. It is also important to the dynamic of science that your entry be well thought out. This is one point where you can start a whole new area of research. Remember, what sense does it make to start gathering data if you don’t know – and I mean really know – why you’re doing it?

Psychological Problems are the Biggest Barrier.

You must establish a firm psychological stance early in your graduate career to keep from being buffeted by the many demands that will be made on your time. If you don’t watch out, the pressures of course work, teaching, language requirements and who knows what else will push you around like a large, docile molecule in Brownian motion. Here are a few things to watch out for:

1. The initiation-rite nature of the PhD and its power to convince you that your value as a person is being judged. No matter how hard you try, you won’t be able to avoid this one. No one does. It stems from the open-ended nature of the thesis problem. You have to decide what a “good” thesis is. A thesis can always be made better, which gets you into an infinite regress of possible improvements.

Recognize that you cannot produce a “perfect” thesis. There are going to be flaws in it, as there are in everything. Settle down to make it as good as you can within the limits of time, money, energy, encouragement and thought at your disposal.

You can alleviate this problem by jumping all the explicit hurdles early in the game. Get all of your course requirements and examinations out of the way as soon as possible. Not only do you thereby clear the decks for your thesis, but you also convince yourself, by successfully jumping each hurdle, that you probably are good enough after all.

2. Nothing elicits dominant behavior like subservient behavior. Expect and demand to be treated like a colleague. The paper requirements are the explicit hurdle you will have to jump, but the implicit hurdle is attaining the status of a colleague. Act like one and you’ll be treated like one.

3. Graduate school is only one of the tools that you have at hand for shaping your own development. Be prepared to quit for awhile if something better comes up. There are three good reasons to do this.

First, a real opportunity could arise that is more productive and challenging than anything you could do in graduate school and that involves a long enough block of time to justify dropping out. Examples include field work in Africa on a project not directly related to your PhD work, a contract for software development, an opportunity to work as an aide in the nation’s capital in the formulation of science policy, or an internship at a major newspaper or magazine as a science journalist.

Secondly, only by keeping this option open can you function with true independence as a graduate student. If you perceive graduate school as your only option, you will be psychologically labile, inclined to get a bit desperate and insecure, and you will not be able to give your best.

Thirdly, if things really are not working out for you, then you are only hurting yourself and denying resources to others by staying in graduate school. There are a lot of interesting things to do in life besides being a scientist, and in some the job market is a lot better. If science is not turning you on, perhaps you should try something else. However, do not go off half-cocked. This is a serious decision. Be sure to talk to fellow graduate students and sympathetic faculty before making up your mind.

Avoid Taking Lectures – They’re Usually Inefficient.

If you already have a good background in your field, then minimize the number of additional courses you take. This recommendation may seem counterintuitive, but it has a sound basis. Right now, you need to learn how to think for yourself. This requires active engagement, not passive listening and regurgitation.

To learn to think, you need two things: large blocks of time, and as much one-on-one interaction as you can get with someone who thinks more clearly than you do.

Courses just get in the way, and if you are well motivated, then reading and discussion is much more efficient and broadening than lectures. It is often a good idea to get together with a few colleagues, organize a seminar on a subject of interest, and invite a few faculty to take part. They’ll probably be delighted. After all, it will be interesting for them, they’ll love your initiative – and it will give them credit for teaching a course for which they don’t have to do any work. How can you lose?

These comments of course do not apply to courses that teach specific skills: e.g., electron microscopy, histological technique, scuba diving.

Write a Proposal and Get It Criticized.

A research proposal serves many functions.

1. By summarizing your year’s thinking and reading, it ensures that you have gotten something out of it.

2. It makes it possible for you to defend your independence by providing a concrete demonstration that you used your time well.

3. It literally makes it possible for others to help you. What you have in mind is too complex to be communicated verbally – too subtle, and in too many parts. It must be put down in a well-organized, clearly and concisely written document that can be circulated to a few good minds. Only with a proposal before them can they give you constructive criticism.

4. You need practice writing. We all do.

5. Having located your problem and satisfied yourself that it is important, you will have to convince your colleagues that you are not totally demented and, in fact, deserve support. One way to organize a proposal to accomplish this goal is:

a. A brief statement of what you propose, couched as a question or hypothesis.

b. Why it is important scientifically, not why it is important to you personally, and how it fits into the broader scheme of ideas in your field.

c. A literature review that substantiates (b).

d. Describe your problem as a series of subproblems that can each be attacked in a series of small steps. Devise experiments, observations or analyses that will permit you to exclude alternatives at each stage. Line them up and start knocking them down. By transforming the big problem into a series of smaller ones, you always know what to do next, you lower the energy threshold to begin work, you identify the part that will take the longest or cause the most problems, and you have available a list of things to do when something doesn’t work out.

6. Write down a list of the major problems that could arise and ruin the whole project. Then write down a list of alternatives that you will do if things actually do go wrong.

7. It is not a bad idea to design two or three projects and start them in parallel to see which one has the best practical chance of succeeding. There could be two or three model systems that all seem to have equally good chances on paper of providing appropriate tests for your ideas, but in fact practical problems may exclude some of them. It is much more efficient to discover this at the start than to design and execute two or three projects in succession after the first fail for practical reasons.

8. Pick a date for the presentation of your thesis and work backwards in constructing a schedule of how you are going to use your time. You can expect a stab of terror at this point. Don’t worry – it goes on like this for awhile, then it gradually gets worse.

9. Spend two to three weeks writing the proposal after you’ve finished your reading, then give it to as many good critics as you can find. Hope that their comments are tough, and respond as constructively as you can.

10. Get at it. You already have the introduction to your thesis written, and you have only been here 12 to 18 months.

Manage Your Advisors.

Keep your advisors aware of what you are doing, but do not bother them. Be an interesting presence, not a pest. At least once a year, submit a written progress report 1-2 pages long on your own initiative. They will appreciate it and be impressed.

Anticipate and work to avoid personality problems. If you do not get along with your professors, change advisors early on. Be very careful about choosing your advisors in the first place. Most important is their interest in your interests.

Types of Theses.

Never elaborate a baroque excrescence on top of existing but shaky ideas. Go right to the foundations and test the implicit but unexamined assumptions of an important body of work, or lay the foundations for a new research thrust. There are, of course, other types of theses:

1. The classical thesis involves the formulation of a deductive model that makes novel and surprising predictions which you then test objectively and confirm under conditions unfavorable to the hypothesis. Rarely done and highly prized.

2. A critique of the foundations of an important body of research. Again, rare and valuable and a sure winner if properly executed.

3. The purely theoretical thesis. This takes courage, especially in a department loaded with bedrock empiricists, but can be pulled off if you are genuinely good at math and logic.

4. Gather data that someone else can synthesize. This is the worst kind of thesis, but in a pinch it will get you through. To certain kinds of people lots of data, even if they don’t test a hypothesis, will always be impressive. At least the results show that you worked hard, a fact with which you can blackmail your committee into giving you the doctorate.

There are really as many kinds of theses as their are graduate students. The four types listed serve as limiting cases of the good, the bad, and the ugly. Doctoral work is a chance for you to try your hand at a number of different research styles and to discover which suites you best: theory, field work, or lab work. Ideally, you will balance all three and become the rare person who can translate the theory for the empiricists and the real world for the theoreticians.

Start Publishing Early.

Don’t kid yourself. You may have gotten into this game out of your love for plants and animals, your curiosity about nature, and your drive to know the truth, but you won’t be able to get a job and stay in it unless you publish. You need to publish substantial articles in internationally recognized, refereed journals. Without them, you can forget a career in science. This sounds brutal, but there are good reasons for it, and it can be a joyful challenge and fulfillment. Science is shared knowledge. Until the results are effectively communicated, they in effect do not exist. Publishing is part of the job, and until it is done, the work is not complete. You must master the skill of writing clear, concise, well-organized scientific papers. Here are some tips about getting into the publishing game.

1. Co-author a paper with someone who has more experience. Approach a professor who is working on an interesting project and offer your services in return for a junior authorship. He’ll appreciate the help and will give you lots of good comments on the paper because his name will be on it.

2. Do not expect your first paper to be world-shattering. A lot of eminent people began with a minor piece of work. The amount of information reported in the average scientific paper may be less than you think. Work up to the major journals by publishing one or two short – but competent – papers in less well-recognized journals. You will quickly discover that no matter what the reputation of the journal, all editorial boards defend the quality of their product with jealous pride – and they should!

3. If it is good enough, publish your research proposal as a critical review paper. If it is publishable, you’ve probably chosen the right field to work in.

4. Do not write your thesis as a monograph. Write it as a series of publishable manuscripts, and submit them early enough so that at least one or two chapters of your thesis can be presented as reprints of published articles.

5. Buy and use a copy of Strunk and White’s Elements of Style. Read it before you sit down to write your first paper, then read it again at least once a year for the next three or four years. Day’s book, How to Write a Scientific Paper, is also excellent.

6. Get your work reviewed before you submit it to the journal by someone who has the time to criticize your writing as well as your ideas and organization.

Don’t Look Down on a Master’s Thesis.

The only reason not to do a master’s is to fulfill the generally false conceit that you’re too good for that sort of thing. The master’s has a number of advantages.

1. It gives you a natural way of changing schools if you want to. You can use this to broaden your background. Moreover, your ideas on what constitutes an important problem will probably be changing rapidly at this stage of your development. Your knowledge of who is doing what, and where, will be expanding rapidly. If you decide to change universities, this is the best way to do it. You leave behind people satisfied with your performance and in a position to provide well-informed letters of recommendation. You arrive with most of your PhD requirements satisfied.

2. You get much-needed experience in research and writing in a context less threatening than doctoral research. You break yourself in gradually. In research, you learn the size of a soluble problem. People who have done master’s work usually have a much easier time with the PhD.

3. You get a publication.

4. What’s your hurry? If you enter the job market too quickly, you won´t be well prepared. Better to go a bit more slowly, build up a substantial background, and present yourself a bit later as a person with more and broader experience.

Publish Regularly, But Not Too Much.

The pressure to publish has corroded the quality of journals and the quality of intellectual life. It is far better to have published a few papers of high quality that are widely read than it is to have published a long string of minor articles that are quickly forgotten. You do have to be realistic. You will need publications to get a post-doc, and you will need more to get a faculty position and then tenure. However, to the extent that you can gather your work together in substantial packages of real quality, you will be doing both yourself and your field a favor.

Most people publish only a few papers that make any difference. Most papers are cited little or not at all. About 10% of the articles published receive 90% of the citations. A paper that is not cited is time and effort wasted. Go for quality, not for quantity. This will take courage and stubbornness, but you won’t regret it. If you are publishing one or two carefully considered, substantial papers in good, refereed journals each year, you’re doing very well – and you’ve taken time to do the job right.

Acknowledgements Thanks to Frank Pitelka for providing an opportunity, to Ray Huey for being a co-conspirator and sounding board and for providing a number of the comments presented here, to the various unknown graduate students who kept these ideas in circulation, and to Pete Morin for suggesting that I write them up for publication.

Some Useful References.

Day, R.A. 1983. How to write and publish a scientific paper. 2nd ed. iSi Press, Philadephia. 181 pp. wise and witty.

Smith, R.V. 1984. Graduate research – a guide for students in the sciences. iSi Press, Philadelphia. 182 pp. complete and practical.

Strunk, W. Jr, and E.B. White.1979. The elements of style. 3rd Ed. Macmillan, New York. 92 pp. the paradigm of concision.

母豺救丈夫

Hailer — Fri, 30 Mar 2012 02:59:17 +0000

母豺救丈夫

亚洲豺是群居动物，它们通常以家庭为单位，组成一个小集体，共同生活、防御、捕食。在这个集体中，成年公豺是头领，它带领着母豺和一群孩子，在弱肉强食的动物世界里战斗。
一个以美国动物学家为主组成的摄制组，在一片丘陵地带，意外发现了一个没有头领的豺群。在这个群体中，只有一只成年母豺和七八只未成年的豺崽。按道理，这样的豺群是不应该存在的，要么母豺带着它的孩子们投奔别的豺群，要么招赘新的公豺当头领。摄制组跟踪拍摄一周后，发现了一个特别的现象:那只母豺像公豺一样性情凶猛，胆大力强，凡与之遭遇的大小动物无不畏惧而逃；孩子们尽管尚未成年，但在它的带领下，不但捕获了足够的食物，而且有力地维护了领地的完整性。在这个豺群中，这只母豺俨然就是”头领”。
在随后的拍摄中，动物学家又有一个惊人发现，这个豺群并不是没有成年公豺。在豺群领地的边缘，在一片灌木丛里的一个被遗弃的陷阱中，人们发现了它。这个陷讲大约1.5米深，但对于身材矮小的亚洲豺来说，是难以逾越的壁垒，如果不借助外力，它永远不可能逃出，而且种种迹象表明，它掉入陷阱己有一段时日。但让人疑惑的是，当摄制组发现这只公豺的时候，它却在陷阱底部安然酣睡，在它的身边还残留着半只没有吃完的野兔，它全然没有身陷囹圄后的烦躁和绝望。
谜底不久揭晓了。傍晚时分，动物学家们看见，母豺叼着食物、带着它的孩子们来到陷阱边。陷阱中的公豺，似乎已经形成条件反射，正翘首以待每天定时送来的盛宴。
公豺饱餐之后，对着上方的母豺和孩子们久久凝望，并发出低柔的叫声，似乎在表达着感激和愧疚之前，又似乎在倾诉内心的思念。
突然，母豺背朝陷阱，扬起前爪，使劲而快速地刨起陷阱边缘的泥土，过了一会儿又换后腿，重复着同样的动作。躲在一旁的摄制组大惑不解，不知道母豺要干什么。当镜头拉近时，他们惊异地发现，在灌木浓密枝叶的掩盖下，早有一条连着陷阱的沟壑。人们立刻明白，这只母豺要掘出一条通道来拯救自己的丈夫。当这条沟壑足够深的时候，它就是一个台阶，公豺可以先跃上台阶，然后再跳上地面。这条沟壑已有20厘米深，如果再掘四五十厘米，公豺就能凭借自己的跳跃能力成功脱险。但是，这里荆棘丛生、泥石相裹，对于身材矮小、并不善于刨土的亚洲豺来说，不亚于一项浩大工程。
让人欣喜的是，母豺并不是孤军奋战。它的孩子们也参与到这场拯救父亲的行动中，当母亲疲劳的时候，孩子们便轮流跳入沟壑接力。很快三个小时过去了，母豺仍没有离去的意思。在皎洁的月光下，摄制组己经看不清它们刨土的动作，却能听到泥石撞击草木的声响，这声响就像一首令人振奋的交响乐，震撼着每一个人的心。当豺群疲惫不堪地离去后。好奇的摄制组打着电筒靠近陷阱，他们赫然看见，在被掘起的新鲜土壤上，竟有点点血迹。
在母豺及其孩子们的执著坚持下，沟壑在一天天加深。六周后的一天，公刨拼命一跃，跳上了类似台阶的沟壑，接着跃上久违的地面、重获自由的公豺欢快地尖叫着，像风一样在草地上奔跑着。它的孩子们也相互追逐着，时而纠缠在一起嬉闹，时而相对欢叫。此时，那只母豺非常安静。它蹲坐在一块岩石上，默默注视着欣喜若狂的丈夫和孩子们。它的双眼里，分明溢满喜悦、感动和幸福。
在随后的拍摄中，人们看到，那只母豺性情大变，它每天亦步亦趋地跟在丈夫身后，温顺而柔弱，己完全没有了先前的凶猛。动物学家说，这是正常现象，当丈夫重新回到家庭成为头领后，它本能地回归母性的角色。

University ranking on Bioinformatics

Hailer — Mon, 26 Mar 2012 08:28:18 +0000

from http://goldbio.blogspot.com/2010/04/ranking-of-university-on-bioinformatics.html

I ranked universities according to the number of publications in journals on bioinformatics. The journals concerned for this task are Bioinformatics, BMC Bioinformatics and Plos computational biology. The journal selection criteria might be controversial since articles on bioinformatics have been published nearly all journals on ‘biology’, including top science journal Nature or Science. However, I selected the three journals for further analysis since it requires additional mandatory validation for articles published in the other journals to identify whether a given article is on bioinformatics or not( I used automatic selection and counting approach for this task). Moreover, the selected three journals are top ranked journals in the field of bioinformatics ( according to ISI impact factor ) so that ranking according to the publication numbers in these journals is not depend only on number of publications but the number of ‘high’ quality publications.

METHOD

Search journal : I used CPAN perl module ‘WWW::Search::PubMed’ to retrieve information of papers published in three journals. To retieve Affiliation information, I added lines of codes.
Control variation of university name : Majority of papers used standard official name to specify each university. Howevr, some of papers used university name which is subtly different from the standard one. Since it requires mandatory validation, I didn’t consider these variations. I only consider universities are the same if they used exactly the same name. However, I controled terms for ‘University of California’ . There are branches of universities for ‘University of California’, such as UC san diego, UC los angeles , UC berkely, etc. And generally, the university name is divided by comma (, ) which is a seperator in affiliation line into two parts, ‘University of California’ and city name such as ‘Los Angeles’, ‘San diego’ , etc. So I combined university name and the city name if ‘University of California’ is stated alone followed by comma without city name.

Overall ranking ( Top 50 )

#colum 1: Ranking
#colum 2: Number of publications
#colum 3: University name
( Non US universities are orange colored )

1 108 UNIVERSITY OF CALIFORNIA SAN DIEGO
2 88 STANFORD UNIVERSITY
3 72 COLUMBIA UNIVERSITY
3 72 UNIVERSITY OF WASHINGTON
3 72 UNIVERSITY OF MANCHESTER
6 71 UNIVERSITY OF MICHIGAN
7 69 YALE UNIVERSITY
8 63 UNIVERSITY OF CALIFORNIA BERKELEY
8 63 UNIVERSITY OF CAMBRIDGE
10 60 WASHINGTON UNIVERSITY
11 59 UNIVERSITY OF OXFORD
12 58 TEL AVIV UNIVERSITY
12 58 UNIVERSITY OF TOKYO
14 56 NATIONAL UNIVERSITY OF SINGAPORE
15 53 PRINCETON UNIVERSITY
16 52 UNIVERSITY COLLEGE LONDON
17 48 UNIVERSITY OF MINNESOTA
17 48 UNIVERSITY OF QUEENSLAND
19 47 IOWA STATE UNIVERSITY
20 45 BOSTON UNIVERSITY
21 44 UNIVERSITY OF TORONTO
22 42 UNIVERSITY OF CALIFORNIA IRVINE
22 42 UNIVERSITY OF PITTSBURGH
24 41 CORNELL UNIVERSITY
24 41 KYOTO UNIVERSITY
24 41 UNIVERSITY OF SOUTHERN CALIFORNIA
27 40 UNIVERSITY OF CALIFORNIA SAN FRANCISCO
28 39 KAIST ( Korea Advanced Institute of Science & Technology )
28 39 TEXAS A&M UNIVERSITY
28 39 UNIVERSITY OF BRITISH COLUMBIA
31 38 JOHNS HOPKINS UNIVERSITY
32 37 HARVARD UNIVERSITY
32 37 UNIVERSITY OF CALIFORNIA DAVIS
34 36 UNIVERSITY OF PENNSYLVANIA
35 35 CARNEGIE MELLON UNIVERSITY
35 35 UPPSALA UNIVERSITY
35 35 UNIVERSITY OF MARYLAND
38 33 BIELEFELD UNIVERSITY
39 31 UNIVERSITY OF CALIFORNIA SANTA CRUZ
40 30 PEKING UNIVERSITY
40 30 UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER
40 30 UNIVERSITY OF GEORGIA
43 29 INDIANA UNIVERSITY
43 29 UNIVERSITY OF GLASGOW
43 29 UNIVERSITY OF CALIFORNIA LOS ANGELES
43 29 TSINGHUA UNIVERSITY
47 28 OHIO STATE UNIVERSITY
48 27 Seoul National University
49 26 TECHNICAL UNIVERSITY OF DENMARK
49 26 PENNSYLVANIA STATE UNIVERSITY

Rising universities
After HGP, bioinformatics recogenized as one of the most important field of genome revolution. Universities that did not specially drive their effort on bioinformatics before the time had started bioinformatics research with large investment. Therfore, the overall ranking might have undergone lots of changes.

To find these variation, I ranked again according to relative rank increase( rank_after_2001 – rank_before_2005 / rank_before_2001).
Range of publication time is divided into two duration, before 2001 and after 2005.
Universities without any publication before 2001 were not considered for this analysis.

[ Top 10 raising university]

#colum 1: Ranking
#colum 2: University name
#colum 3: relative rank difference
#colum 4: ranking for 1998-2000
#colum 5: ranking for 2006-2010

1.UNIVERSITY OF CALIFORNIA SAN DIEGO 0.93 15 1
2.UNIVERSITY OF WASHINGTON 0.92 39 3
3.STANFORD UNIVERSITY 0.66 6 2
4.TEL AVIV UNIVERSITY 0.56 39 17
4.UNIVERSITY OF QUEENSLAND 0.56 39 17
6.YALE UNIVERSITY 0.5 6 3
7.IOWA STATE UNIVERSITY 0.41025641025641 39 23
8.UNIVERSITY OF SOUTHERN CALIFORNIA 0.35 39 25
8.UNIVERSITY OF TORONTO 0.35 39 25
8.KYOTO UNIVERSITY 0.35 39 25

Thoughts on the ranking

1. Can I say that high ranked universities are better than universities in low ranked?

University is different from research institution. I think university ranking should consider not only research performance, but also how successfully they educate student. This ranking is based only on number of publications so that it only consider research performance. Therefore, this ranking should not be considered to reveal overall value of universities.

2. How does UCSD excel the other top schools?

UCSD is ranked around 7-10 when the ranking is based only on ‘Bioinformatics’ or ‘BMC bioinformatics’. However, UCSD is top ranked with overwelming number of publications when it comes to ‘Plos computational biology’ journal. Since Plos family journals were initiated with tight relationship with faculty members at UCSD, they have willingness to publish papers in Plos journal. Moreover, Philip Bourne, a professor at UCSD in the field of bioinformatics, has been contributed a series of editorials, ‘ Ten simple rule ‘ advise series, in Plos Computational biology, which are not research papers, but counted as equally as research papers to be considered for ranking.

3. Some most prominent universities such as Harvard ranked lower compared to others, are they really bad on Bioinformatics or computational biology?

As I described in the beginning, this ranking is only based on top three journals in the field of bioinformatics or computatinoal biology. If the other journals were considered, the ranking would be changed a lot.

4. USA vs. the other countries

In the top 10 list, only Cambridge and Manchester are universities out of USA. In top 20, there are 8 and 12 in top 30. Regardless of drawbacks of ranking criteria, it’s ture that USA is a leading country in this field.
List of countries other than USA in top 30 ranking are Japan, Canada, Israel, Korea, Singapore and Austrailia. 3 Aisan countries have 4 universities ranked within top 30.

In The Cafeteria, Google Gets Healthy

Hailer — Fri, 23 Mar 2012 12:52:57 +0000

In The Cafeteria, Google Gets Healthy

Companies spend a lot of time finding ways to cut energy costs and increase recycling. Here’s how the tech giant is working to better manage another resource: the health of its staff.

BY CLIFF KUANG | MARCH 19, 2012

Much has changed since Google earned a reputation for fattening its staffers with food on demand. These days, the company is focused on advancing its healthy-eating initiatives. Explains Jennifer Kurkoski, who has a PhD in organizational behavior and runs a division of Google’s HR department called People Analytics, “When employees are healthy, they’re happy. When they’re happy, they’re innovative.” In pursuit of that healthiness, happiness, and innovation, Google has turned to “nudges”: simple, subtle cues that prompt people to make better decisions. Behavioral economists have shown the idea works, but Google has taken it out of the lab and into the lunchroom. This is a sampling of the encouragement you’d get during trips through the company’s eateries–and naturally, Google is measuring the results.

1

HARD CANDY
No longer are M&Ms in clear hanging dispensers. If you’re in Google’s New York office, you now have to reach into opaque bins. The grab takes effort; the obscuring vessel quells enticement. The switch led to a 9% drop in caloric intake from candy in just one week.

2

SALAD GAZE
Waiting for you as you enter the cafeteria is the salad bar. According to Jessica Wisdom, a member of the People Analytics team, studies show that people tend to fill their plates with whatever they see first. Thus, leafy greens get the most visible real estate. Desserts, meanwhile, are down another line of sight.

3

SIZING DOWN
While grabbing a plate to load up on grub, you see a sign informing you that people with bigger dishes are inclined to eat more. It doesn’t tell you what to do, but it affects your behavior. This simple “meta nudge” caused small-plate usage to increase by half, to 32% of all plate traffic.

4

COLORING OPINIONS
Harvard recently revamped its food pyramid, and those lessons in metered portions have translated into a colored-tag system in the cafeterias. You see green labels paired with veggies, giving you liberty to dig in. Most desserts have red ones, warning potential gluttons to proceed in moderation.

5

DESERTING DESSERTS
So you’ve had a bad day, and even a glaring red tag isn’t enough to discourage you from indulging in a treat. Fortunately, desserts are designed to be downed in just three bites. By making people think about having to take a second dessert plate, Google is nixing potential binges.

6

WATERWORKS
You’re back at your desk and thirst is setting in. You head to the kitchen. In the past, water was on tap and soda was in the fridge. Now bottled water is at eye level in the cooler, while soda has been moved to the bottom. That shift in placement increased water intake by 47%, while calories from drinks fell by 7%. Taking a sip of agua, you feel better already.

A version of this article appears in the April 2012 issue of Fast Company

第84届奥斯卡提名及获奖影片资源地址汇总

Hailer — Sat, 17 Mar 2012 13:55:02 +0000

战马（War Horse）6
艺术家（The Artist）10
点球成金（Moneyball）6
后人（The Descendants）5
生命之树（Tree of Life）3
午夜巴黎（Midnight in Paris）4
帮助（The Help ）4
雨果的秘密（Hugo）11
特别响，非常近（Extremely Loud and Incredibly Close）2

最佳女主角

维奥拉·戴维斯《帮助》/ Viola Davis, The Help
梅丽尔·斯特里普《铁娘子》/ Meryl Streep, The Iron Lady
米歇尔·威廉姆斯《我与梦露的一周》/ Michelle Williams, My Week with Marilyn
鲁尼·玛拉《龙纹身的女孩》/ Rooney Mara, The Girl with the Dragon Tattoo
格伦·克洛斯《阿尔伯特·诺伯斯》/ Glenn Close, Albert Nobbs

最佳男主角

德米安·比齐尔《更好的生活》/ Demián Bichir, A Better Life
乔治·克鲁尼《后人》/ George Clooney, The Descendants
让·迪雅尔丹《艺术家》/ Jean Dujardin, The Artist
加里·奥德曼《锅匠、裁缝、士兵、间谍》/ Gary Oldman, Tinker Tailor Soldier Spy
布拉德·皮特《点球成金》/ Brad Pitt, Moneyball

最佳女配角

贝热尼丝·贝乔《艺术家》/ Bérénice Bejo, The Artist
杰西卡·查斯坦《帮助》/ Jessica Chastain, The Help
梅丽莎·麦卡锡《伴娘团》Melissa McCarthy, Bridesmaids
珍妮特·迈克提尔《阿尔伯特·诺伯斯》/ Janet McTeer, Albert Nobbs
奥克塔维亚·斯宾瑟《帮助》/ Octavia Spencer, The Help

最佳男配角

肯尼斯·布拉纳《我与梦露的一周》/ Kenneth Branagh, My Week with Marilyn
乔纳·希尔《点球成金》/ Jonah Hill, Moneyball
尼克·诺特《拳击勇士》/ Nick Nolte, Warrior
克里斯托弗·普拉默《新手》/ Christopher Plummer, Beginners
马克斯·冯·赛多《特别响，非常近》/ Max Von Sydow, Extremely Loud and Incredibly Close

最佳导演

迈克尔·哈扎纳维希乌斯《艺术家》/ Michael Hazanavicius, The Artist
亚历山大·佩恩《后人》/ Alexander Payne,The Descendants
马丁·斯科塞斯《雨果的秘密》/ Martin Scorsese, Hugo
伍迪·艾伦《午夜巴黎》/ Woody Allen, Midnight in Paris
泰伦斯·马力克《生命之树》/ Terrence Malick, Tree of Life

最佳原著剧本

迈克尔·哈扎纳维希乌斯《艺术家》/ Michael Hazanavicius, The Artist
克里斯汀·威格、安妮·缪缪罗《伴娘团》/ Kristen Wiig & Annie Mumulo, Bridesmaids
J·C·钱达《商海通牒》/ J.C. Chandor, Margin Call
伍迪·艾伦《午夜巴黎》/ Woody Allen, Midnight in Paris
阿斯哈·法哈蒂《内达与西敏：一次别离》/ Asghar Farhadi, A Separation

最佳改编剧本

亚历山大·佩恩、奈特·法克斯顿、吉姆·拉什《后人》/ Alexander Payne, Nat Faxton, Jim Rash, The Descendants
约翰·洛根《雨果的秘密》/ John Logan, Hugo
乔治·克鲁尼、格兰特·赫斯洛夫《三月十五日》/ George Clooney & Grant Heslov, The Ides of March
艾伦·索金、斯蒂文·泽伦《点球成金》/ Aaron Sorkin, Steven Zaillan, Moneyball
布里吉特·奥康纳、彼得·斯特朗《锅匠、裁缝、士兵、间谍》/ Bridget O’Connor, Peter Straughan, Tinker Tailor Soldier Spy

最佳摄影

艺术家（The Artist）
龙纹身的女孩（The Girl with the Dragon Tattoo）
雨果的秘密（Hugo）
生命之树（Tree of Life）
战马（War Horse）

最佳艺术指导

艺术家（The Artist）
哈利·波特与死亡圣器下（Harry Potter and the Deathly Hallows, Part 2）
雨果的秘密（Hugo）
午夜巴黎（Midnight in Paris）
战马（War Horse）

最佳服装设计

佚名（Anonymous）
艺术家（The Artist）
雨果的秘密（Hugo）
简·爱（Jane Eyre）
倾国之恋（W.E.）

最佳电影剪辑

艺术家（The Artist）
后人（The Descendants）
龙纹身的女孩（The Girl with the Dragon Tattoo）
雨果的秘密（Hugo）
点球成金（Moneyball）

最佳音效编辑

亡命驾驶（Drive）
龙纹身的女孩（The Girl with the Dragon Tattoo）
雨果的秘密（Hugo）
变形金刚3（Transformers: Dark of the Moon）
战马（War Horse）

最佳混音

龙纹身的女孩（The Girl with the Dragon Tattoo）
雨果的秘密（Hugo）
点球成金（Moneyball）
变形金刚3（Transformers: Dark of the Moon）
战马（War Horse）

最佳视觉效果

哈利·波特与死亡圣器下（Harry Potter and the Deathly Hallows, Part 2）
雨果的秘密（Hugo）
铁甲钢拳（Real Steel）
猩球崛起（Rise of the Planet of the Apes）
变形金刚3（Transformers: Dark of the Moon）

最佳化装

阿尔伯特·诺伯斯（Albert Nobbs）
哈利·波特与死亡圣器下（Harry Potter and the Deathly Hallows, Part 2）
铁娘子（The Iron Lady）

最佳歌曲

“Man or Muppet” -《布偶电影》（The Muppets）
“Real in Rio”-《里约大冒险》（Rio）

最佳配乐

约翰·威廉姆斯《丁丁历险记》/ John Williams, The Adventures of Tintin
路德维克·伯斯《艺术家》/ Ludovic Bource, The Artist
霍华德·肖恩《雨果的秘密》/ Howard Shore, Hugo
阿尔贝托·伊格莱西亚斯《锅匠、裁缝、士兵、间谍》/ Alberto Iglesias, Tinker Tailor Soldier Spy约翰·威廉姆斯《战马》/ John Williams, War Horse

最佳动画长片

一只猫在巴黎（A Cat in Paris）
奇可和丽塔（Chico & Rita）
功夫熊猫2（Kung Fu Panda 2）
穿靴子的猫（Puss in Boots）
兰格（Rango）

最佳动画短片

礼拜天（Dimanche/Sunday）
莫里斯·莱斯莫先生的神奇飞书（The Fantastic Flying Books of Mr. Morris Lessmore）
月亮（La Luna）
早晨的散步（A Morning Stroll）
狂野生活（Wild Life）

最佳真人短片

五旬节（Pentecost）
拉珠（Raju）
海岸（The Shore）
时间怪客（Time Freak）
大西洋大号（Tuba Atlantic）

最佳纪录短片

伯明翰理发师：民权运动的步兵（The Barber of Birmingham: Foot Soldier of the Civil Rights Movement）
上帝是个更大的猫王（God Is the Bigger Elvis）
新巴格达事件（Incident in New Baghdad）
面子（Saving Face）
海啸和樱花（The Tsunami and the Cherry Blossom）

最佳纪录正片

地狱归来（Hell and Back Again）
如果树木倒下：地球解放阵线的故事（If a Tree Falls: A Story of the Earth Liberation Front）
失乐园3：炼狱（Paradise Lost 3: Purgatory）
碧娜·鲍许（Pina）
不败（Undefeated）

最佳外语片

牛头（Bullhead，比利时）
注脚（Footnote，以色列）
在黑暗中（In Darkness，波兰）
拉扎先生（Monsieur Lazhar，加拿大）
内达与西敏：一次别离（A Separation，伊朗）

大多出资源搬自人人，，带中英字幕

艺术家：

ed2k://|file|%E8%89%BA%E6%9C%AF%E5%AE%B6.The.Artist.2011.DVDSCR-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.rmvb|476445485|ea00d8942d1b53383c4618c612a02478|h=mjlhuear7przngvpqsf7t6sypmq5ucy2|/

雨果：

ed2k://|file|%E9%9B%A8%E6%9E%9C.Hugo.2011.BD-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.rmvb|604320566|17161fce5a1c39a4be1d3ce12bff820f|h=ds4uvkhl3bn6gkexlojyk3gpobbajllr|/

铁娘子：

网盘：dp2meqc0

龙纹身的女孩：

ed2k://|file|%E9%BE%99%E7%BA%B9%E8%BA%AB%E7%9A%84%E5%A5%B3%E5%AD%A9.The.Girl.With.A.Dragon.Tattoo.2011.DVDSCR-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.rmvb|722964692|fbd8d5f71569f23375ccb54d0a7f9727|h=ounzszvmjscqdhx6ooond63ewfe32wyp|/

初学者：

ed2k://|file|%E5%88%9D%E5%AD%A6%E8%80%85.Beginners.2010.BD-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.rmvb|492736145|932eeed5c19f1f3db6b044ddf10f5b4c|h=ffuzzod5l3tlxgq46223vka3rmpt7fiz|/

纳德和西敏：一次别离：

ed2k://|file|%E7%BA%B3%E5%BE%B7%E5%92%8C%E8%A5%BF%E6%95%8F%EF%BC%9A%E4%B8%80%E6%AC%A1%E5%88%AB%E7%A6%BB.A.Separation.2011.BD-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.rmvb|609928973|37ac17d388ac42845e7134162f1e7369|h=dqhw6ag63ufnnrgak4oqkvryc5vvg6bc|/

后人：

Cd2：

ed2k://|file|The.Descendants.(2011).CD2.DVDRip.AC3.XviD-DiAMOND.avi|733491200|14FDDC8114B944D8C363ADA6C8310BFF|h=V4C34S4YIQKEXJEV53LVXBRZ7DRPBQP2|/

帮助：

ed2k://|file|%E5%B8%AE%E5%8A%A9.The.Help.2011.BD-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.rmvb|635394323|1f167f5e0719277f94286008bd178c30|h=7dmwx2urfjzdv3jsi3gbzqgeoz4jz67e|/

兰戈：

ed2k://|file|%E5%85%B0%E6%88%88(%E5%8A%A0%E9%95%BF%E7%89%88).Rango.2011.Extended.BD-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.rmvb|549812360|D73CC8692D6068AF238AFEC0DB46F6C4|h=EIROIARBGTAY5M4M4LXRCBZD2LMLITNM|/

午夜巴黎：

ed2k://|file|%E5%8D%88%E5%A4%9C%E5%B7%B4%E9%BB%8E.Midnight.In.Paris.2011.BD-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95V2.rmvb|453137526|1ebc6e05160b4dd2a7d3938f359522d6|h=nq2uu7fjz7epuyn4oi354aeo2qjhdcec|/

布偶大电影：

ed2k://|file|%E5%B8%83%E5%81%B6%E5%A4%A7%E7%94%B5%E5%BD%B1.The.Muppets.2011.DVDSCR.XViD-INSPiRAL.[emulefans.com].avi|1550852792|2C30A0743A7221ECF2F136AADBE4477A|h=YX4L73NSGHECCQPAPEGXFL662RUP35SG|/

点球成金：

ed2k://|file|%E7%82%B9%E7%90%83%E6%88%90%E9%87%91.Moneyball.2011.BD-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.rmvb|554442617|aa5a00aceedfeb14cdb04399afec7643|h=o4rd4g5apihiiccnzquwbx5lt65tf552|/

战马：

ed2k://|file|%E6%88%98%E9%A9%AC.War.Horse.(2011).(%E4%B8%AD%E8%8B%B1%E5%8F%8C%E5%AD%97%E5%B9%95).DVDScr-RMVB-%E6%82%A0%E6%82%A0%E9%B8%9F.[qvocd.com].rmvb|620854103|ABFB772C0512F08750CD62FD78CEEFB0|/

生命之树：

ed2k://|file|%E7%94%9F%E5%91%BD%E4%B9%8B%E6%A0%91.The.Tree.of.Life.2011.BD-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.rmvb|657054176|077ebda25cd242686d2bc02c824be898|h=6z2fctddbotci4czmg372qboaej46xih|/

锅匠、裁缝、士兵、间谍：

ed2k://|file|%E9%94%85%E5%8C%A0,%E8%A3%81%E7%BC%9D,%E5%A3%AB%E5%85%B5,%E9%97%B4%E8%B0%8D.Tinker.Tailor.Soldier.Spy.2011.BD-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.rmvb|619284163|8bd721c02ed0f953139641925fa6a330|h=ph4sdrhel3bnog2jkawisvldbequm2yo|/

哈利波特与死亡圣器下：

ed2k://|file|Harry.Potter.and.the.Deathly.Hallows.Part.2.2011.%E5%93%88%E5%88%A9%C2%B7%E6%B3%A2%E7%89%B9%E4%B8%8E%E6%AD%BB%E4%BA%A1%E5%9C%A3%E5%99%A8(%E4%B8%8B).%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.HR-HDTV.AC3.1024X576.x264-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%88%B6%E4%BD%9C.mkv|2334029707|68cb4c3a1c47b7f2a2685191a75cc902|h=3pyuzhmcrgpxmjwgyizypxxbbmtaipi5|/

变形金刚3：

ed2k://|file|Transformers.Dark.of.the.Moon.2011.%E5%8F%98%E5%BD%A2%E9%87%91%E5%88%9A3%EF%BC%9A%E6%9C%88%E9%BB%91%E4%B9%8B%E6%97%B6.%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.HR-HDTV.AC3.1024X576.x264-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%88%B6%E4%BD%9CV2.mkv|2529202703|ae3cb33f5b83c9ee3e9be52a33bd387f|h=5f6magbwcea6ytmhrckw37bux3av2hra|/

我和梦露的一周：

ed2k://|file|%E6%88%91%E4%B8%8E%E6%A2%A6%E9%9C%B2%E7%9A%84%E4%B8%80%E5%91%A8.My.Week.With.Marilyn.2011.BD-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95V2.rmvb|469350988|4f353dc37ea23a2d0de4590f5608e110|h=ahl4tegpqchrcf7vcatqnp5otgl2fh2z|/

特别响、非常近：

ed2k://|file|%E7%89%B9%E5%88%AB%E5%93%8D.%E9%9D%9E%E5%B8%B8%E8%BF%91.Extremely.Loud.And.Incredibly.Close.2011.DVDSCR.AC3.XviD-GooN.[emulefans.com].avi|1341694428|DF882FBC1ED0A8B2FFF88D3450DA8722|h=K4OHXF7CJC3JRNWXHGQLMN5C4IL6IGXU|/

伴娘：

ed2k://|file|%E4%BC%B4%E5%A8%98.Bridesmaids.2011.BD-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.rmvb|638597671|06aa24a187daf3ab6f9beec384d8b5fc|h=g65f4ax2sw2emnr3iqolsdfxw7iz5psm|/

雌雄莫辨：

ed2k://|file|%E9%9B%8C%E9%9B%84%E8%8E%AB%E8%BE%A8.Albert.Nobbs.2011.DVDSCR.X264.c00Kies-INF1N1TY.[emulefans.com].mkv|830473102|97D5527DAC39454B549A85926B043F5D|h=MGBLPFXTKZCM53LTJUQI77VHMDFRSDXS|/

商海通牒：

ed2k://|file|%E5%95%86%E6%B5%B7%E9%80%9A%E8%B0%8D.Margin.Call.2011.BD-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.rmvb|519982100|7221562e8d8c6a07d436da211d58348b|h=nvaqvww6wddpbpgvctj7yecywumyck3m|/

更好的生活：

ed2k://|file|%E6%9B%B4%E5%A5%BD%E7%9A%84%E7%94%9F%E6%B4%BB.A.Better.Life.2011.BD.MiniSD-TLF.(qvocd.com).mkv|855179801|EC45195F980CCE93AFB9B9CA802FEC52|/

匿名者：

ed2k://|file|%E5%8C%BF%E5%90%8D%E8%80%85.Anonymous.2011.BRRiP.XViD-SAM.(www.qvocd.com).avi|732052816|08756F5BD39EAD7E930773D1C773F2D6|h=PNZJL7SJBGHTTZ6DD7IN75WIKTYKSYL7|/

总统杀局：

ed2k://|file|%E6%80%BB%E7%BB%9F%E6%9D%80%E5%B1%80.The.Ides.of.March.2011.BD.MiniSD-TLF.mkv|728989495|84067E54E030AB73AD89BBA1FA7239E5|/

勇士：

ed2k://|file|%E5%8B%87%E5%A3%AB.Warrior.2011.BD-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.rmvb|691748592|0e21fa5810099d4b5409be55a090ffc6|h=j67epatwtszilxqu64evda4wubtmomye|/

简爱：

ed2k://|file|%E7%AE%80%E7%88%B1.Jane.Eyre.2011.BD-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.rmvb|576878870|abc8aa9007ba8dc24975ab6e821065b7|h=evxztbtxsdtymu27rsxe6fuk6b5hhasl|/

功夫熊猫2：

ed2k://|file|%E5%8A%9F%E5%A4%AB%E7%86%8A%E7%8C%AB2.Kung.Fu.Panda.2.2011.BD-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.rmvb|437473288|06325f55b941c9eb0e771c6053ed1cc1|h=ogvtlxq7mahhexotr6v6uwmj3khxvmxt|/

猫在巴黎：

ed2k://|file|[%E7%8C%AB%E5%9C%A8%E5%B7%B4%E9%BB%8E].A.Cat.in.Paris.2010.DVDRip.XViD-DOCUMENT.[emulefans.com].avi|728836096|18299F7BA1952D5371405F4991A214AF|/

奇可和丽塔：

ed2k://|file|%E5%A5%87%E5%8F%AF%E5%92%8C%E4%B8%BD%E5%A1%94.Chico.And.Rita.LIMITED.BDRip.XviD-DiVERSiFY.[emulefans.com].avi|733386752|F58129D32134FE6EB3083FA28066E544|/

穿靴子的猫：

ed2k://|file|%E5%89%91%E5%AE%A2%E9%9D%B4%E7%8C%AB(%E6%9C%AA%E5%88%86%E7%BA%A7%E7%89%88).Puss.In.Boots.2011.UNRATED.BD-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.rmvb|443375184|10708330c7d75b1e5f2761ce636e32c8|h=37qfshs4sjfzzcjpbim7byd7xq53ymtx|/

亡命驾驶：

ed2k://|file|%E4%BA%A1%E5%91%BD%E9%A9%BE%E9%A9%B6.Drive.2011.BD-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.rmvb|467707128|6e79814322f694bce5b9424efc5cc868|h=z6n6iicuu2ubw4utyvx3rdlavrab2q2v|/

铁甲钢拳：

ed2k://|file|%E9%93%81%E7%94%B2%E9%92%A2%E6%8B%B3.Real.Steel.2011.BD-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.rmvb|627085259|d49d3de71b90f3dc5c38ff6e4a44b318|h=lh7jcud4p3i644isbdd6xweptgq46dq6|/

猩球崛起：

ed2k://|file|%E7%8C%A9%E7%90%83%E5%B4%9B%E8%B5%B7.Rise.of.the.Planet.of.the.Apes.2011.BD.2Audio.MiniSD-TLF.[qvocd.com].mkv|743580464|AB8A3DE0BDA354D46786A99EDDB6B0D2|/

里约大冒险：

ed2k://|file|%E9%87%8C%E7%BA%A6%E5%A4%A7%E5%86%92%E9%99%A9.Rio.2011.BD-RMVB-%E4%BA%BA%E4%BA%BA%E5%BD%B1%E8%A7%86%E5%8E%9F%E5%88%9B%E7%BF%BB%E8%AF%91%E4%B8%AD%E8%8B%B1%E5%8F%8C%E8%AF%AD%E5%AD%97%E5%B9%95.rmvb|473033151|17EC5653B021D16EF2081DF0B27DD4BB|h=QABOI3VSN5XESEWVIVLVTBGDFXC2MF6Y|/

顽固分子：

ed2k://|file|%E9%A1%BD%E5%9B%BA%E4%BB%BD%E5%AD%90.Rundskop.2011.720p.BluRay.DD5.1.x264-CRiSC.[emulefans.com].mkv|4688291254|4964C484651679D5259D63D2073DFA13|h=S4MR4WDZAE3Y4PL7P53TWQ4HNBAC5DWZ|/

关于word2007 2010中使用endnote插入文献巨卡的问题

Hailer — Thu, 15 Mar 2012 17:22:58 +0000

最近在写毕业设计论文，在word2010中使用endnote插入文献是word非常卡，几乎无法在继续进行编辑，查找了一下可以通过这个方法解决，文件→选项→校对→在word中更正拼写和语法时→键入时标记语法错误。取消这个选项，就可以了。

4.6G的数学书

Hailer — Sat, 10 Mar 2012 14:10:59 +0000

4.6G的数学书，所有的都有pdf，需要的找我

all these books have pdf files, if you want to read anyone of them , please contact me.

Email: chenhaifeng.net[AT]gmail.com

├─Algebra
│ A Computational Introduction To Number Theory And Algebra – Victor Shoups.pdf
│ A course in computational algebraic number theory – Cohen.djvu
│ A Course in Homological Algebra – P. Hilton, U. Stammbach.djvu
│ A Course In Universal Algebra – S. Burris and H.P. Sankappanavar.pdf
│ A First Course In Linear Algebra – Robert A. Beezer.pdf
│ A First Course in Noncommutative Rings – T. Lam.djvu
│ A Primer of Algebraic D-modules – S. Coutinho.djvu
│ Abel’s Theorem in Problems and Solutions – V.B. Alekseev.pdf
│ Abstract Algebra – the Basic Graduate Year – R. Ash.djvu
│ Advanced Modern Algebra – Joseph J. Rotman.pdf
│ Algebra & Trigonometry Graphs & Models 3rd ed – Marvin L. Bittinger.pdf
│ Algebra Abstract – Robert B. Ash.pdf
│ Algebra Demystified – Rhonda Huettenmueller.pdf
│ Algebra I Basic Notions Of Algebra – Kostrikin A I , Shafarevich I R.pdf
│ Algebra Sucsess In 20 Minutes a Day – LearningExpress.pdf
│ Algebraic D-modules – A. Borel et. al.djvu
│ Algebraic Groups and Discontinuous Subgroups – A. Borel, G. Mostow.pdf
│ Algebraic Surfaces and Holomorphic Vector Bundles – R. Friedman.djvu
│ Algorithmic Algebra – B. Mishra.djvu
│ Algorithms for Computer Algebra – K. Geddes, S. Czapor, G. Labahn.djvu
│ An Elementary Approach to Homological Algebra – L. Vermani.djvu
│ An Introduction To Linear Algebra – Kenneth Kuttler.djvu
│ Applications of Abstract Algebra with MAPLE – R. Klima, N. Sigmon, E. Stitzinger.pdf
│ Applied Linear Algebra And Matrix Analysis – Thomas S. Shores.pdf
│ Applied Numerical Linear Algebra – James W. Demmel.djvu
│ Bialgebraic Structures – W. Kandasamy.pdf
│ Calculus approach to matrix eigenvalue algorithms – Hueper.pdf
│ Commutative Algebra 2nd ed. – H. Matsumura.djvu
│ Commutative Ring Theory – H. Matsumura.djvu
│ Compact Numerical Methods for Computers Linear Algebra and Function Minimisation 2Ed – Adam Hilger.pdf
│ Computational Commutative Algebra – Kreuzer and Robbiano.pdf
│ Computer Algebra and Differential Equations – E. Tournier.djvu
│ Determinants and Their Applications in Mathematical Physics – R. Vein, P. Dale.pdf
│ Differential Galois Theory – M. van der Put, M. Singer.pdf
│ Elementary Linear Algebra – K. R. MATTHEWS.pdf
│ Elements of Abstract and Linear Algebra – E. H. Connell.pdf
│ Fileds and Galois Theory [jnl article] – J. Milne.pdf
│ fundamental problems in algorithmic algebra – chee keng yap.pdf
│ Galois Theory 2nd ed. – E. Artin.pdf
│ Group Characters, Symmetric Functions and the Hecke Algebras – D. Goldschmidt.pdf
│ Handbook of Algebra Vol 1 – M. Hazewinkel.djvu
│ Handbook of Algebra Vol 2 – M. Hazewinkel.djvu
│ Hankel and Toeplitz Matrices and Forms – I. Iohvidov.djvu
│ Homotopical Algebra – D. Quillen.djvu
│ Intro Abstract Algera – P.Garret.pdf
│ Introduction to Commutative Algebra – M. Atiyah, I. Macdonald.djvu
│ Invitation to Higher Local Feilds – I. Fesenko, M. Kurihara.pdf
│ Lectures on Matrices – wedderburn.pdf
│ Linear Algebra – Jim Hefferon.pdf
│ Linear algebra 3ed – Greub, W.H.djvu
│ Linear Algebra And Its Applications – David C Lay.pdf
│ Linear Algebra and Its Applications 3e – Gilbert Strang.pdf
│ Linear Algebra and Multidimensional Geometry – R. Sharipov.pdf
│ LINEAR ALGEBRA and SMARANDACHE LINEAR ALGEBRA – w. b. vasantha kandasamy.pdf
│ Linear Algebra Done Right, 2nd Ed – Sheldon Axler.pdf
│ Linear Algebra Gateway to Mathematics – Robert Messer.djvu
│ Linear Algebra with Applications 3rd Edition – Nicholson, W. Keith.pdf
│ Linear Algebra, 2Nd Edition – Kenneth Hoffmann And Ray Kunze.pdf
│ Linear algebraic groups 2ed – Borel A.djvu
│ Logic and Boolean Algebra – Kathleen and Hilbert Levitz.pdf
│ Matrices Over Commutative Rings – W. Brown.djvu
│ Matrices theory and applications – Serre D..pdf
│ Matrix Analysis & Applied Linear Algebra – Carl D Meyer.pdf
│ Matrix Theory – [jnl article] – T. Banks.pdf
│ Methods of Homological Algebra – S. Gelfand, Y. Manin.djvu
│ Modern Algebra With Applications 2Ed – Gilbert, Nicholson.djvu
│ Modern Computer Algebra – Von Zur Gathen, Gerhard.djvu
│ Operator Algebras and Quantum Statistical Mechanics V1 2nd ed. – O. Bratelli.djv
│ Operator Algebras and Quantum Statistical Mechanics V2 2nd ed. – O. Bratelli.djv
│ Polynomials and Polynomial Inequalities.pdf
│ Quadratic Forms and their Applications.pdf
│ Ring of Quotients – Introduction to Methods of Ring Theory – Bo Stenstrom.djvu
│ SCHAUM’S OUTLINE OF THEORY AND PROBLEMS OF LINEAR ALGEBRA Second Edition – SEYMOUR LIPSCHUTZ.djvu
│ Schemes – D. Eisenbud, J. Harris.djvu
│ SMARANDACHE FUZZY ALGEBRA – W. B. Vasantha Kandasamy.pdf
│ Smarandache Loops – W. Kandasamy.pdf
│ Smarandache Near-Rings – W. Kandasamy.pdf
│ Smarandache Rings – W. Kandasamy.pdf
│ Smarandache Semirings, Semifields,Semi Vector Spaces – W. Kandasamy.pdf
│ Structure and Representation of Jordan Algebras – N. Jacobson.pdf
│ The Algebraic Theory of Spinors and Clifford Algebras – C. Chevalley.djvu
│ The Theory Of Algebraic Numbers 2nd ed. – H. Pollard, H. Diamond.djvu
│ Toposes, Triples and Theories – M. Barr, W. Wells.pdf
│ Treatise on Quantum Clifford Algebras – Fauser.pdf
│ Vector Math for 3D Computer Graphics – Interactive Tutorial.pdf
│ Workbook in Higher Algebra – David Surowski.pdf
│
├─Algebraic geometry
│ Abelian Varieties – D. Mumford.djvu
│ Algebraic Curves and Riemann Surfaces – R. Miranda.djvu
│ Algebraic Geometry – D. Bump.djvu
│ Algebraic Geometry – Js Mine.pdf
│ Algebraic Geometry – R. Hartshorne.djvu
│ Algebraic geometry I-V – Shafarevich I.R.djvu
│ Algebraic Geometry I. From Algebraic Varieties to Schemes – K. Ueno.djvu
│ Combinatorial Convexity and Algebraic Geometry – G. Ewald.djvu
│ Commutative Algebra, with a View Toward Algebraic Geometry – D. Eisenbud.djvu
│ Computational Algebraic Geometry – F. Eyssette, A. Galligo.djvu
│ Current Trends in Arithmetical Algebraic Geometry – K. Ribet.pdf
│ Geometric Algebra – E. Artin.djv
│ Geometric Algebra and its Application to Mathematical Physics – C. Doran.pdf
│ Geometry of Algebraic Curves (vol 1) – E. Arabello, M. Cornalba, P. Griffiths, J. Harris.djvu
│ Introduction to Algebraic Geometry – Dolgachev.pdf
│ Mirror Symmetry and Algebraic Geometry – D. Cox, S. Katz.djvu
│ Moduli of Curves – J. Harris, I. Morrison.pdf
│ Positivity In Algebraic Geometry – R. Lazarsfeld.djvu
│ Real Algebraic Geometry – J. Bochnak, M. Coste, M. Roy.djvu
│ Zeta Functions, Introduction to Algebraic Geometry – Thomas.djvu
│
├─Analysis
│ A Course of Higher Mathematics vol 1 – V. Smirnov.djv
│ A Course of Higher Mathematics vol 2 – V. Smirnov.djv
│ A Course of Modern Analysis 4th ed. – E. Whittaker, G. Watson.djv
│ A Quick Introduction to Tensor Analysis – R. Sharipov.pdf
│ Acourse of pure mathematics – Hardy.djvu
│ Algebraic Numbers and Fourier Analysis – Salem.pdf
│ An Introduction to Complex Analysis for Engineers – M. Adler.pdf
│ An Introduction To Functional Analysis – Vitali Milman.pdf
│ An Introduction to Numerical Analysis for Electrical and Computer Engineers – Wiley.pdf
│ Analysis – Hyland.pdf
│ Analysis and Simulation of Chaotic Systems 2nd ed. – F. Hoppensteadt.pdf
│ Applied and Computational Complex Analysis Vol 1 – P. Henrici.djvu
│ Applied and Computational Complex Analysis Vol 2 – P. Henrici.djvu
│ Applied Nonlinear Analysis – A. Sequeira, H. da Vega, J. Videman.djv
│ Automorphic Forms on GL(2) – H. Jacquet, R. Langlands.pdf
│ Automorphic Forms, Representations and L-Functions Part 1 – A. Borel, W. Casselman.pdf
│ Automorphic Forms, Representations and L-Functions Part 2 – A. Borel, W. Casselman.pdf
│ Basic Analysis – K. Kuttler.pdf
│ Basic Elements of Real Analysis – M. Protter.pdf
│ Basic Math Conecpts – E. Zakon.pdf
│ Complex Analysis – Ahlfors.pdf
│ Complex Analysis – cain.pdf
│ Complex Analysis – K. Houston.pdf
│ Complex Analysis 2nd ed. – L. Alhford.djvu
│ Computer Analysis of Number Sequences – H. Ibstedt.pdf
│ Convex Analysis and Non Linear Optimization Theory and Examples – Borwein,Lewis.pdf
│ Differential Inequalities – J. Szarski.djv
│ Elementary Numerical Analysis An Algorithmic Approach, 3rd Ed – de Boor.pdf
│ Finite Element Analysis Theory and Application with ANSYS – S. Moaveni.djvu
│ Foundations of Algebra and Analysis – C. Dodge.djvu
│ Foundations of modern analysis – Friedman.djvu
│ Foundations of Real and Abstract Analysis – Axler , Gehring , Ribet.pdf
│ Fourier analysis on groups – Rudin, Walter.pdf
│ Fourier Theory – B. Clarke.pdf
│ Functional Analysis – K Yoshida.pdf
│ Functional Analysis – W. Rudin.djvu
│ Functional Analysis and Semi-Groups – E. Hille, R. Phillips.pdf
│ Functional Equations in a Single Variable – M. Kuczma.djv
│ Functional Operators, Vol.1 – Measures and Integrals – J. von Neumann.djvu
│ Functions of One Complex Variable 2nd ed. – J. Conway.djvu
│ Fundamental Numerical Methods and Data Analysis – G. W. Collins.pdf
│ Harmonic Analysis And Partial Differential Equations – B. Dahlberg, C. Kenig.pdf
│ Harmonic Analysis on Semisimple Lie Groups – V. Varadarajan.djv
│ Harmonic Analysis, Real Variable Methods Orthogonality & Oscillatory Integrals – Stein.pdf
│ Homeomorphisms in Analysis – C. Goffman, T. Nishiura, D. Waterman.djv
│ Integral Equations – A Practical Treatment – D. Porter, D. Stirling.djv
│ Integral Equations – H. Hochstadt.djv
│ Introduction to Complex Analysis – R. Nevanlinna, V. Paatero.djvu
│ Introduction to Complex Analysis Lecture notes – W. Chen.pdf
│ Introduction to Numerical Analysis 2 ed – J.Stoer,R.Bulirsch.pdf
│ Introduction To p-adic Numbers and p-adic Analysis – A. Baker.pdf
│ Introduction to the theory of Fourier’s series and integrals 2ed- Carslaw H.S..djvu
│ Introductory Real Analysis – A. Kolmogorov, S. Fomin.pdf
│ Manifolds, Tensor Analysis and Applications 3rd ed. – Marsden, Ratiu and Abraham.pdf
│ Mathematical analysis – Apostol T.M..djvu
│ Mathematical Analysis – E. Zakon.pdf
│ Mathematical Methods of Engineering Analysis – E. Cinlar, R. Vanderbei.pdf
│ Mathematics of the Discrete Fourier Transform.pdf
│ Means of Hilbert Space Operators – F. Hiai, H. Kosaki.pdf
│ Measure And Integral an introduction to Real analysis – Wheeden and Zygmund,.djvu
│ Mixed Motives – M. Levine.pdf
│ Monotone Operators in Banach Space and Nonlinear partial differential equation – P. Showalter.pdf
│ Nonlinear System Theory – W. Rugh.pdf
│ Notions of Convexity – L. Hoermander.djvu
│ p-adic numbers, p-adic analysis, and zeta-functions 2nd ed. – N. Koblitz.djvu
│ Partial Differantial Equations and Fourier Analysis an Introduction – K. Tung.djvu
│ Principles and Applications of Tensor Analysis – M. Smith.pdf
│ Principles of Mathematical Analysis 3ed – Rudin W.djvu
│ Real And Complex Analysis International Student edn – W. Rudin.pdf
│ Real and complex analysis third edition – Rudin.djvu
│ Real Mathematical Analysis- Charles Chapman.pdf
│ Summation of Series 2nd rev. ed. – L. B. W. Jolley.pdf
│ The Elements of Real Analysis – R. Bartle.djvu
│ The Theory Of The Riemann Zeta-Function -Titshmarch.djvu
│ theory and Problems Of Fourier Analysis with Applications to Boundary value problems – Spiegel.pdf
│ Theory of Functions of a Real Variable – S. Sternberg.pdf
│ Vector and Tensor Analysis with Applications – A. Borisenko and I.Tarapov.djv
│
├─Applied mathematics
│ A First Course On Wavelets – E. Hernandez, G. Weiss.djvu
│ Applied Mathematics – P. Oliver, C. Shakiban.djvu
│ Chaos Theory Tamed – G. Williams.pdf
│ Classification of Nuclear C-algebras – Entropy in Operator Algebras.djvu
│ Explaining Chaos – P. Smith.djvu
│ Fundamentals of Wavelets – Theory, Algorithms, and Applications – J. Goswami, A. Chan.djvu
│ Information Theory – R. Ash.pdf
│ Intro to the Math. and Stat. Foundations of Econometrics – H. Bierens.pdf
│ Introduction To Finite Mathematics, 3Rd Edition.pdf
│ Inverse Problem Theory and Methods for Model Parameter Estimation – A. Tarantola.pdf
│ Linear Programming – Foundation and Extensions 2nd ed. – R. vanderbei.djvu
│ Mathematics of Quantum Computation – Chen and Brylinski.djvu
│ Probabilistic Inference Using Markov Chain Monte Carlo Methods – R. Neal.pdf
│ Renormalization Groups – G. Benfatto, G. Gallavotti.djvu
│ The Mathematical Theory Of Cosmic Strings – M. Anderson.pdf
│ Theory and Problems of Finite Mathematics (Schaums Outlines) – S. Lipschutz.pdf
│
├─calculus
│ A Treatise On The Differential Calculus with numerous examples – Todd Hunter.djvu
│ Advanced Calculus – a Differential Forms Approach – H. Edwards.djvu
│ Advanced Calculus – Widder D.V..djvu
│ Advanced Calculus 2Ed , 1990 – Loomis L H , Sternberg S.djvu
│ Advanced Calculus 2Nd Ed – wrede & Spiegel.pdf
│ Advanced Calculus 3rd Edition – Taylor Angus & Wiley.Fayez.pdf
│ Advanced Calculus and Analysis – Ian craw.pdf
│ Advanced Calculus fifth edition – Wilfred Kaplan.pdf
│ Advanced Calculus of real valued functions of real variable and vectored valued functions of a vector variable – Sagan.pdf
│ Advanced Calculus With Applications In Statistics – A Khuri.pdf
│ An introduction to the fractional calculus and fractional differential equations – Miller K.S., Ross B..djvu
│ Calculus 5th Edition – James Stewart solution.pdf
│ Calculus 5th Edition – James Stewart.pdf
│ Calculus Bible.pdf
│ Calculus Concepts and Contexts 2nd Ed – James Stewart.pdf
│ Calculus Demystified – Krantz.pdf
│ Calculus for the Clueless – Calc.I – Bob Miller’s.pdf
│ Calculus for the Clueless, Calc II – Bob Millers.pdf
│ Calculus For The Utterly Confused – Oman.pdf
│ CALCULUS OF FINITE DIFFERENCES – jordan.pdf
│ Calculus of Variations & Optimal Control – Sasane.pdf
│ Calculus of Variations & Solution Manual – Russak.pdf
│ Calculus Of Variations, With Applications To Physics And Engineering – Weinstock R.pdf
│ Calculus on manifolds – Spivak, M..pdf
│ Calculus With Complex Numbers – Read.pdf
│ Calculus Workbook For Dummies – Mark Ryan.pdf
│ Calculus, applications and theory – K Kuttler.djvu
│ Derivatives and Integrals Chart (basic).pdf
│ Dictionary of analysis, calculus, and differential equations – Gibilisco.djvu
│ Differential Forms, a Complement to Vector Calculus – S. Weintraub.djvu
│ Elementary calculus an infinitesimal approach 2ed – Keisler H.J..pdf
│ Elementary Textbook on the Calculus – Snyder.pdf
│ Foundations Of Differential Calculus – Euler.pdf
│ Foundations Of Infinitesimal Calculus 2nd ed. – K. Stroyan.pdf
│ From Calculus to Chaos – D. Acheson.djvu
│ Functional Calculus of Pseudo-Differential Boundary Problems – Birkhauser.djvu
│ Geometric Approach to Differential Forms – D. Bachman.pdf
│ Handbook Of Integral Equations – A. Polyanin, A. Manzhirov.pdf
│ How To Solve Word Problems In Calculus – Don.pdf
│ INTRODUCTION TO THE CALCULUS OF VARIATIONS – Bernard Dacorogna.pdf
│ Introduction To The Calculus Of Variations – Byerly 1917.pdf
│ Master Math Pre-Calculus And Geometry – Debra Ross.pdf
│ Mathematical Background Foundations of Infinitesimal Calculus 2nd Ed – K. D. Stroyan.pdf
│ Mlulti Variable Calculus and Linear Algebra, with Applications to DifFeren tial Equations and Probability SECOND EDITION – Apostol.pdf
│ Multivariate Calculus – Alder.pdf
│ On the Shoulders of Giants A Course in Single Variable Calculus – Smith & Mcleland.pdf
│ One-Variable Calculus, with an Introduction to Linear Algebra SECOND EDITION vol I – Apostol.pdf
│ Quantum calculus – Kac V. & Cheung P..djvu
│ Rings of Differential Operators – J. Bjoerk.djv
│ Ryerson Calculus & Advanced Functions – McGraw-Hill.pdf
│ Selected Chapters In The Calculus Of Variations – Moser J.pdf
│ The Fractional Calculus Theory And Applications Of Differentiation And Integration To Arbitrary Order – Oldham K B , Spanier J.djvu
│ Theory and Problems of ADVANCED CALCULUS Second Edition – WREDE & SPIEGE.pdf
│ Theory and Problems of Beginning Calculus Second Edition – Elliott Mendelson.pdf
│ THEORY AND PROBLEMS OF DIFFERENTIAL AND INTEGRAL CALCULUS Third Edition – AYRES & MENDELSON.pdf
│ Vector Calculus – Theodore Voronov.pdf
│
├─CRC Concise Encyclopedia of Mathematics
│ CRC Concise Encyclopedia of Mathematics [part 1 of 4] – E. Weisstein.pdf
│ CRC Concise Encyclopedia of Mathematics [part 2 of 4] – E. Weisstein.pdf
│ CRC Concise Encyclopedia of Mathematics [part 3 of 4] – E. Weisstein.pdf
│ CRC Concise Encyclopedia of Mathematics [part 4 of 4] – E. Weisstein.pdf
│
├─Cryptography
│ Applied Cryptography 2nd ed. – B. Schneier.pdf
│ Cryptography Theory And Practice – Douglas Stinson.chm
│ Guide to Elliptic Curve Cryptography – D. Hankerson, A. Menezes, S. Vanstone.pdf
│ Handbook of Applied Cryptography – A. Menezes, P. VanOorschot, S. Vanstone.pdf
│ Modern Cryptography Theory And Practice – Wenbo Mao.pdf
│
├─Differential Algebra
│ Differential Algebra – Joseph Ritt.pdf
│ Differential Algebra and Algebraic Groups – E. Kolchin.djvu
│ Differential Algebra and Diophantine Geometry – A. Buium.djvu
│ Differential Algebraic Groups – E. Kolchin.djvu
│ Differential Algebraic Groups of Finite Dimension – A. Buium.djvu
│ Differential Function Fields and Moduli of Algebraic Varieties – A. Buium.djvu
│
├─Differential Geometry
│ An Introduction To Differential Geometry With Use Of Tensor Calculus – Eisenhart L P.djv
│ Classical differential geometry of curves and surfaces – Varliron G..djvu
│ Complex Analytic and Differential Geometry – J. Demailly.pdf
│ Complex Analytic Differential Geometry – Demailly.pdf
│ Course of Differential Geometry – R. Sharipov.pdf
│ Differential and Physical Geometry – J. Lee.djvu
│ Differential Geometry in Physics – G. Lugo (.pdf
│ Foundations Differential Geometry – Michor.pdf
│ Foundations of Differential Geometry – P. Michor.pdf
│ Foundations of Differential Geometry vol 1 – Kobayashi, Nomizu.pdf
│ Intro to Differential Geometry and General Relativity – S. Warner.pdf
│ Introduction to Differential Geometry & General Relativity – waner.pdf
│ Lectures on Differential Geometry – S. Chen, W. Chen, K. Lam.djvu
│ Minkowski Geometry – A. Thompson.djvu
│ Modern Differential Geometry for Physicists 2nd ed. – C. Isham.pdf
│ Natural Operations in Differential Geometry – Ivan ,Peter, Jan.pdf
│
├─differentials equations
│ A First Course in Partial Differential Equations with complex variables and transform methods – H. Weinberger.djvu
│ A Treatise on Differential Equations 2nd ed. – A. Forsyth.djv
│ An Introduction to MultiGrid Methods – P. Wesseling.pdf
│ Difference Equations and Inequalities – Theory, Methods, and Applications 2nd ed. – P. Agarwal.djv
│ Differential Equations Crash Course – R. Bronson.pdf
│ Differential Equations From the Group Standpoint – L. Dickson.djv
│ Differential Equations with Mathematica – M. Abell, J. Braselton.pdf
│ Differential Equations, Dynamical Systems and Linear Algebra – M. Hirsch, S. Smale.djv
│ Differential Subordinations, Theory and Applications – S. Miller, P. Mocanu.djv
│ Elementary Differential Equations and boundry value problems 7th ed. – W. Boyce, R. Diprima.djvu
│ Exterior Diff Systems And Euler-Lagrange Partial Diff Eqns – Bryant, Griffiths and Grossman.pdf
│ Galois Theory of Linear Differential Equations – M. van der Put, M. Singer.pdf
│ Generalized Difference Methods for Differential Equations – R. Li, Z. Chen, W. Wu.pdf
│ Hilbert Space Methods For Partial Differential Equations – R. Showalter.pdf
│ Introduction to Partial Differential Equations – A Computational Approach – A. Tveito, R. Winther.pdf
│ Introduction to Stochastic Differential Equations v1.2 (Berkeley lecture notes) – L. Evans.pdf
│ Introduction To Tensor Calculus & Continuum Mechanics – J. Heinbockel.pdf
│ Linear Diff Eqns in the Complex Domain – Problems of Analytic Continuation Y. Sibuya.djv
│ Mesh-free Methods – Moving Beyond Finite Element Methods – G. Liu.djvu
│ Nonlinear Analysis & Differential Equations, An Introduction – Schmitt & Thompson.pdf
│ Nonlinear Partial Differential Equations – G. Chen, E. DiBenedetto.djv
│ Numerical Methods for Ordinary Differential Equations – J.C. Butcher.djvu
│ Numerical Methods for Partial Differential Equations 2nd ed. – W. Ames.djvu
│ Ordinary Differential Equations – P. Hartman.djv
│ Ordinary Differential Equations – V. Arnold.djv
│ Ordinary Differential Equations and Dynamical Systems – G. Teschl.pdf
│ Ordinary Differential Equations, with Intro to Lie Theory – J. Page.djvu
│ Partial Differential Equations – L. Evans.djvu
│ Partial Differential Equations and Mathematica – P. Kythe.pdf
│ Partial differential equations and the finite element method – Pave1 Solin.pdf
│ Partial Differential Equations Vol 1 – Basic Theory – M. Taylor.djv
│ Partial Differential Equations Vol 2 – Qualitative Studies of Linear Equations – M. Taylor.djv
│ Partial Differential Equations Vol 3 – Nonlinear Equations – M. Taylor.djv
│ Partial Differential Equations, (MA3132 lecture notes) – B. Neta (.pdf
│ Singular Perturbation Theory – Math and Analyt Technique w. appl to Engineering – R. Johnson.pdf
│ Stochastic Differential Equations 5th ed. – B. Oksendal.pdf
│ The Qualitative Theory of Ordinary Diff. Equations – F. Brauer, H. Nohel.djvu
│
├─Discrete Mathematics
│ A First Course in Discrete Mathematics 2nd ed – ANdersonn.pdf
│ Advanced Combinatorics (revised) – L. Comtet.pdf
│ Algorithm theory – Penttonen,Meineche.pdf
│ Algorithms – R. Sedgewick.pdf
│ Algorithms and Complexity – wilf.pdf
│ Combinatorics – Topics, Techniques and Algorithms – P. Cameron.djvu
│ Combinatorics 2nd ed. – R. Merris.pdf
│ Concrete Mathematics – R. Graham, D. Knuth, O. Patashnik.pdf
│ Discrete Math in Computer Science – Bogart , Stein.pdf
│ Discrete Mathematics – Chen.pdf
│ Discrete Mathematics – Yale.pdf
│ Discrete Mathematics And Its Applications 4Th Ed – Rosen.pdf
│ Discrete Mathematics for New Technology Second Edition – Garnier , Taylor.pdf
│ Generatingfunctionology – H. Wilf.pdf
│ Handbook of Combinatorics Vol 2 – R. Graham, M. Grotschel, L. Lovasz.djvu
│ Handbook of discrete and combinatorial mathematics – Crc Press.pdf
│ Introduction to Algorithms 2nd ed. – MIT Faculty.pdf
│ Introduction to Genetic Algorithms for Scientists and Engineers – D. Coley.djvu
│ Monte Carlo Concepts, Algorithms and Applications – G. Fishman.djvu
│ Probabilistic methods in algorithmic discrete mathematics – Springer.pdf
│ Representations for Genetic and Evolutionary Algorithms 2nd ed. – F. Rothlauf.pdf
│
├─Dynamical Systems
│ Dynamical Systems – G. Birkhoff.djvu
│ Dynamical Systems and Fractals – Computer Graphics Exper. in Pascal – K. Becker, M. Dorfler.pdf
│ Elementary Catastrophe Theory – P. Michor.djvu
│
├─Encyclopedia of Mathematics – Gale Group
│ Encyclopedia of Mathematics – Gale Group (Vol.1 Ab-Cy).djvu
│ Encyclopedia of Mathematics – Gale Group (Vol.2 Da-Lo).djvu
│ Encyclopedia of Mathematics – Gale Group (Vol.3 Ma-Ro).djvu
│ Encyclopedia of Mathematics – Gale Group (Vol.4 Sc-Ze).djvu
│
├─Foundations of Mathematics
│ ├─Category Theory
│ │ Basic Category Theory for Computer Scientists – B. Pierce.djv
│ │ Categories for the Working Mathematician – S. Maclane.djv
│ │
│ ├─Logic
│ │ A Concise Introduction To Logic – Hurley 7th ed.pdf
│ │ Bridge to Abstract Math – Mathematical Proof and Structures, 1st Ed. – R. Morash.pdf
│ │ Fuzzy Logic A Practical Approach – F. Martin McNeill, Ellen Thro.pdf
│ │ Handbook of Philosophical Logic vol 9.pdf
│ │ Handbook of the Logic of Argument & Inference-01–Gabbay-p506.pdf
│ │ Introduction to Linear Logic – T. Brauner.pdf
│ │ Language Proof And Logic – Barwise,Etchemendy.pdf
│ │ Logic for Everyone – R. Herrmann.pdf
│ │ Relevant and Substructural Logic – Greg Restall.pdf
│ │ Schaum’s Outline of Logic – John Nolt,Dennis Rohatyn,Achille Varzi.pdf
│ │
│ └─Set Theory
│ Introduction to set theory 3ed – Hrbacek K., Jech T..djvu
│ Lectures in Logic and Set Theory Volume I Mathematical Logic – George Tourlakis.djv
│ Lectures In Logic And Set Theory Volume II Set Theory – George Tourlakis.djv
│ Logic, Computation and Set Theory – Forster, T..pdf
│
├─Fun
│ Abel’s Proof – Essay on the Sources and Meaning of Mathematical Unsolvability – P. Pesic.djvu
│ Breakthroughs in Mathematics – P. Wolff.pdf
│ Math Wonders to Inspire Teachers and Students.pdf
│ Prime Numbers – The Most Mysterious Figures in Math.pdf
│ The Art of the Infinite – The Pleasures of Math.pdf
│ The Riemann Hypothesis The Greatest Unsolved Problem in Mathematics . – J. Derbyshire.djv
│ Wiley Mathematical Journeys.pdf
│
├─Geometry
│ │ Algebraic geometry a first course – Harris.J.djvu
│ │ Computational Geometry algorithms and applications 2d ed – De berg.pdf
│ │ Computational Geometry in C – J o’orourk.pdf
│ │ Computational Geometry Methods And Applications – chen.pdf
│ │ Conceptual Spaces The Geometry Of Thought – Gardenfors.chm
│ │ Exploring Analytic Geometry with Mathematica – D. Vossler.pdf
│ │ Exploring analytic geometry with Mathematica – Vossler.pdf
│ │ Fractal Geometry Mathematical Foundations & Applications – Falconer.pdf
│ │ Fundamentals of College Geometry 2nd ed. – E. M. Hemmerling.pdf
│ │ Fundamentals of Mathematics Vol.2, Geometry – Behnke, Bachmann.pdf
│ │ Geometric Models for Noncummutative Algebras – A.da Silva, A. Weinstein.pdf
│ │ Geometry Asymptotics – Guillemin,Sternberg.pdf
│ │ Glimpses of Algebra and Geometry, 2nd Edition – Verlag.pdf
│ │ Handbook of discrete and computational geometry and its applications – Rosen.pdf
│ │ Introduction to geometry 2ed – coxeter.djvu
│ │ Introduction to Lie groups and symplectic geometry – Bryant R.L..pdf
│ │ Mirrors and Reflections- The Geometry of Finite Reflection Groups – A. Borovik, A. Borovik.pdf
│ │ Non-Euclidean Geometry 6th ed. – H.S.M. Coxeter.djvu
│ │ Plane Analytic Geometry With Differential Calculus – Maxime Bocher.pdf
│ │ Sphere Packings – C. Zong.djvu
│ │ The Geometry & Topology of 3-Manifold – Thurston.pdf
│ │ The Geometry of Hamilton and Lagrange Spaces – Miron, Hrimiuc, Shimara, Sabau..pdf
│ │ The Geometry of Schemes – Eisenbud D., J.Harris..pdf
│ │ Treatise of plane geometry through geometric algebra – Calvet R.G. -.pdf
│ │
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│ │ │
│ │ └─geometry
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│ │ Geometry.zip
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│ │ source.zip
│ │
│ └─Trigonometry
│ Mathematics, Trigonometry – NAVEDTRA 14140.pdf
│ Notes from Trigonometry – S. Butler.pdf
│ Plane and Spherical Trigonometry – C. Palmer, C. Leigh.pdf
│ Teach Yourself Trigonometry.pdf
│ Trigonometry Demystified – S. Gibilisco.pdf
│
├─Graph Theory
│ Graph Theory – R. Diestel.pdf
│ Graph Theory With Applications – J. Bondy, U. Murty.pdf
│ Planar Graph Drawing – T. Nishizeki, M. Rahman.pdf
│
├─Group Theory
│ Abstract Theory of Groups – O. Schmidt.djvu
│ An Elementary Introduction to Groups and Representations – B. Hall.pdf
│ Buildings and Classical Groups – P. Garrett.pdf
│ Cohomological Topics in Group Theory – K. Gruenberg.djvu
│ Galois Theory 2nd ed. – E. Artin.djvu
│ Group Theory (Lie’s, Tracks and Exceptional Groups) – P. Cvitanovic.djvu
│ Group Theory Exceptional Lie Groups As Invariance Groups – P. Cvitanovic.pdf
│ Group Theory [jnl article] – J. Milne.pdf
│ Groupoids. and Smarandache Groupoids – W. Kandasamy.pdf
│ Introduction To Groups, Invariants and Particles.pdf
│ Introduction to the Theory of Groups – G. Polites.djvu
│ Isometric Actions of Lie Groups and Invariants [jnl article] – P. Michor.pdf
│ Lectures on Lie Groups – D. Milicic.pdf
│ Lie Algebras – S. Sternberg.pdf
│ Linear Algebraic Groups – A. Borel.djvu
│ Problems in Group Theory – J. Dixon.djvu
│ Quantum Groups and Knot Algebra – T. Dieck.pdf
│ Representation Theory – A First Course – W. Fulton, J. Harris.djvu
│ Representation Theory of Lie groups – M. Atiyah et al..djvu
│ Smarandache Semigroups – W. Kandasamy.pdf
│ The Classification of the Finite Simple Groups – D. Greenstein, R. Lyons, R. Solomon.djvu
│ The Theory of Groups – H. Bechtell.djvu
│ the Theory of Groups 2nd ed. Vol.1 – A. Kurosh.djvu
│ Theory Of Groups of Finite Order – W. Burnside.djvu
│
├─Math For Engineers
│ Advanced Mathematical Methods for Scientists and Engineers – C. Bender, S. Orszag.djv
│ CRC Press – Dictionary of Applied Math for Engineers and Scientists – D. Clark.pdf
│ CRC Press – Elem. Math. and Comp. Tools for Engineers using MATLAB – J. Manassah.pdf
│ Engineering Mathematics 4th ed. – J. Bird.pdf
│ Essential Math Skills for Engineering, Science and Appl Math – S. Barry, S. Davis.djv
│ Intro to Methods of Appl. Math – Adv Math Methods for Scientists and Engineers – S. Mauch.pdf
│ Math – Functional and Structural Tensor Analysis for Engineers – Brannon.pdf
│ Math methods in physics and engineering with Mathematica – F. Cap.djvu
│ Math. and Phys. Data – Equations and Rules of Thumb – S. Gibilisco.pdf
│ Mathematical Methods of Classical Mechanics, 2nd ed., – V. I. Arnold.djvu
│ Mathematics for Electrical Engineering and Computing – M. Attenborough.pdf
│ Mathematics of Quantum Computation – G. Chen, R. Brylinski (eds).djvu
│ Methods of Mathematical Physics Vol 3 – Scattering Theory – M. Reed.djvu
│
├─Number theory
│ A Computational Introduction to Number Theory and Algebra – Victor Shoup.pdf
│ A Concise Introduction to the Theory of Numbers- Baker A..pdf
│ A Course in Arithmetic (graduate level) – J. Serre.djvu
│ A course in computational algebraic number theory – Cohen H..pdf
│ A Course in Number Theory and Cryptography 2 ed – Neal Koblitz.pdf
│ A Course In Number Theory And Cryptography 2Ed – Koblitz N.djvu
│ Advanced Number Theory – Cohn.pdf
│ Algebra and number theory – Baker A..pdf
│ Algebraic Groups and Number Theory – Platonov & Rapinchuk.pdf
│ Algebraic Number Theory – IYANAGA.pdf
│ ALGEBRAIC NUMBER THEORY – MILNE.pdf
│ Algorithmic Methods In Algebra And Number Theory – Pohst M.djvu
│ Algorithmic number theory – Cohen H..djvu
│ Algorithmic number theory, vol. 1 Efficient algorithms – Bach E., Shallit J..djvu
│ An Explicit Approach To Elementary Number Theory – stein.pdf
│ An Introduction to Conformal Field Theory [jnl article] – M. Gaberdiel.pdf
│ AN INTRODUCTION TO THE THEORY OF NUMBERS – hardy & wright.pdf
│ An Introduction to the Theory of Numbers – Leo Moser.pdf
│ An introduction to the theory of numbers 5ed – Niven I., Zuckerman H.S., Montgomery H.L..djvu
│ Analytic number theory – Iwaniec H.,Kowalski E..djvu
│ Analytic Number Theory – Newman D.J..pdf
│ Analytic Number Theory- Jia & Matsumoto.pdf
│ Arithmetic Theory of Elliptic Curves – J. Coates.pdf
│ Computational Algebraic Number Theory – Pohst M E.djvu
│ Computational excursions in analysis and number theory – Borwein P..djvu
│ Contributions to the Founding of the Theory of Transfinite Numbers – Georg Cantor.djvu
│ Definitions, Solved And Unsolved Problems, Conjectures and Theorems, In Number Theory And Geometry – Smarandache F.djvu
│ Elementary Methods in Number Theory – Nathanson M.B.pdf
│ Elementary Number Theory – Clark.pdf
│ Elementary Number Theory – David M. Burton.pdf
│ Elementary Number Theory And Primality Tests.pdf
│ Elementary Number Theory Notes – santos.pdf
│ Elementary theory of numbers – Sierpinski W..djvu
│ Elliptic Curves – Notes for Math 679 – J. Milne, U. Michigan.pdf
│ Elliptic Curves 2nd ed. – D. Husemoeller.pdf
│ Geometric Theorems, Diophantine Equations and Arithmetic Functions – J. Sandor.pdf
│ History of the theory of numbers Vol.2. – Dickson L.E..djvu
│ Introduction To Analytic Number Theory – Apostol.pdf
│ Introduction to Modern Number Theory Fundamental Problems, Ideas and Theories 2nd Edition – Manin I., Panchishkin A.pdf
│ Introduction to p-adic numbers and valuation theory- Bachman G..djvu
│ Introduction to the Theory of Numbers 4th ed. – G. Hardy, E. Wright.djvu
│ Lectures on topics in algebraic number theory – Ghorpade.pdf
│ Mainly Natural Numbers – Studies on Sequences – H. Ibstedt.pdf
│ Math. problems and proofs combinatorics, number theory and geometry – B. Kisacanin.pdf
│ Mathematical Problems And Proofs Combinatorics, Number Theory, and Geometry – Kluwer Academic.pdf
│ My Numbers, My Friends – Popular Lectures on Number Theory.pdf
│ My Numbers,My Friends Popular Lectures On Number Theory – Ribenboim.pdf
│ Number Theory – Z.Borevitch, I. Shafarevich.djvu
│ Number theory for beginners – Weil A..djvu
│ Number theory for computing – Yan S Y..pdf
│ Numerical Mathematics – A. Quarteroni, A. Sacco, F. Saleri.pdf
│ Numerical Methods for Engineers and Scientists 2nd ed. – J. Hoffman.djvu
│ Numerical Optimization – J. Nocedal, S. Wright.pdf
│ Numerical Recipes in C – The Art Of Scientific Computing 2nd ed..pdf
│ Numerical Recipes in Fortran 77 2nd ed. Vol 1.pdf
│ Old And New Problems And Results In Combinatorial Number Theory – Erdos, P.&Graham, R.L.djvu
│ Only Problems Not Solutions – F. Smarandache.pdf
│ Prime Numbers The Most Mysterious Figures in Math – D. Wells.pdf
│ Problems In Algebraic Number Theory 2Ed – Murty M , Esmonde J.djvu
│ SOlved and unsolved problems in Number Theory – Daniel Shanks.pdf
│ Surfing on the Ocean of Numbers – H. Ibstedt.pdf
│ Survey Of Diophantine Geometry – Serge Lang.djvu
│ The elements of the theory of algebraic numbers – Hilbert.djv
│ The Foundations of Arithmetic 2nd ed. revised – G. Frege.pdf
│ The New Book Of Prime Number Records 3rd ed. – P. Ribenboim.djvu
│ The Theory of algebraic numbers sec ed – Pollard H., Diamond H.G..djvu
│ the theory of functions and sets of natural numbers – Odifreddi, P.djvu
│ Three Pearls of Number Theory – Khinchin.djvu
│ Transcendental number theory – Baker A..djvu
│ Unsolved Problems In Number Theory 2 Ed – R K Guy.djv
│
├─Probability and statistics
│ A Course In Probability Theory – Chung K L.djvu
│ An Introduction to Probability Theory – Geiss.pdf
│ An Introduction to Probability Theory and its Applications Vol I – Feller W..pdf
│ Applied Bayesian Modelling – P. Congdon.pdf
│ Applied Probability – Lange K..pdf
│ Applied Probability and Stochastic Processes – Bryc.pdf
│ Applied Statistics And Probability For Engineers – Montgomery && Runger.pdf
│ Applied Statistics And Probability For Engineers solution – Montgomery && Runger.pdf
│ CRC – standard probability and Statistics tables and formulae – DANIEL ZWILLINGER.pdf
│ Foundations of Modern Probability – Olav Kallenberg.pdf
│ Foundations of the Theory of Probability – A.N. KOLMOGOROV.pdf
│ Fundamentals of Probability and Statistics for Engineers – T T Soong.pdf
│ Introduction to Mathematical Statistics 6th ed. – P. Hoel.pdf
│ Introduction To Probability – Dimitri Bertsekas And John N Tsitsiklis.pdf
│ Introduction to Probability – Grinstead & Snell.pdf
│ Introduction to Probability 2nd Ed – C M Grinstead & J L Snell.pdf
│ Introduction To Probability Models Sixth Ed -Sheldon M ross.pdf
│ Introduction to Statistical Pattern Recognition 2nd ed. – K. Fukunaga.pdf
│ Lectures on Probability Theory and Statistics – Jean Picard.pdf
│ Markov Random Fields And Their Applications – kinderman & snell.pdf
│ Mathematics, Pre-Calculus and Introduction to Probability.pdf
│ Measure Integral & Probability – Capinski & Kopp.pdf
│ Multivariable Bayesian Statistics – D. Rowe.djv
│ Probability and Finance It’s only a game.pdf
│ Probability and its applications – Ollav Kallenberg.pdf
│ Probability and measurements – Tarantola A..pdf
│ Probability And Statistical Inference – NITIS MUKHOPADHYAY.pdf
│ Probability Demystified – bluman.pdf
│ Probability Theory and Examples second edition – Durrett R.djvu
│ Probability Theory The Logic Of Science – E. T. Jaynes.pdf
│ Probability, random processes and ergodic properties – Gray.pdf
│ Probability, Random Processes, and Ergodic Properties – R. Gray.pdf
│ Probability, Random Variables and Random Signal Principles 2nd ed. – P. Peebles.pdf
│ Probability, Random Variables and Stochastic Processes 3rd ed- Papoulis.pdf
│ Radically Elementary Probability Theory – edward Nelson.pdf
│ Recent Advances in Applied Probability – Springer.pdf
│ Schaum’s Outlines – Theory and Problems of Statistics 3rd ed. – M. Spiegel, L. Stephens.djvu
│ Six Sigma and Beyond Statistics and Probability, Volume III – satamtis.chm
│ Statistics and Probability for Engineering Applications With Microsoft? Excel – W.J. DeCoursey.pdf
│ Statistics for Dummies – D. Rumsey.chm
│ Statistics Hacks – B. Frey.chm
│ The Basic Practice of Statistics 3rd ed. – D. S. Moore.pdf
│ Theory and problems of probability – Lipschutz, Seymour.djvu
│ Theory and Problems of Probability, Random Variables, and Random Processes – Hwei P. Hsu.pdf
│ Tutorials in Probability.pdf
│
├─Ramanujan’s Notebooks
│ Ramanujan’s Notebooks vol 1 – B. Berndt.djv
│ Ramanujan’s Notebooks vol 2 – B. Berndt.djv
│ Ramanujan’s Notebooks vol 3 – B. Berndt.djv
│ Ramanujan’s Notebooks vol 4 – B. Berndt.djv
│ Ramanujan’s Notebooks vol 5 – B. Berndt.djv
│
├─Topology
│ A concise course in algebraic topology – May J.P..pdf
│ A Panoramic View of Riemannian Geometry – M. Berger.djvu
│ Algebraic Topology A Computational Approach – Kaczynski , Mischaikow , Mrozek.pdf
│ Algebraic Topology – A. Hatcher.pdf
│ Algebraic Topology – S. Lefschetz.pdf
│ Algebraic Topology an Intuitive Approach – H. Sato.djvu
│ Algebraic Topology From A Homotopical Viewpoint – SPringer.pdf
│ Cohomology of Arithmetic Groups, L-Functions and Automorphic – T. Venkatamarana.pdf
│ Counterexamples In Topology – Steen , Seebach.pdf
│ Curvature and Homology, Revised Ed. – S. Goldberg.pdf
│ differential topology – Dundas.pdf
│ Differential Topology – Morris.pdf
│ Elementary Concepts In Topology – P. Alexandroff.pdf
│ Elementary topology a first course – Viro, Ivanov.pdf
│ general topology – muller.pdf
│ Geometry and Topology of 3-Manifolds – W. Thurston.djvu
│ Index Theory, Coarse Geometry, and Topology of Manifolds – J. Roe.djvu
│ Intorduction to Topology and Modern Analysis – G. Simmons.djvu
│ Introduction to Algebraic Topology and Algebraic Geometry – U. Bruzzo.pdf
│ Introduction to Differential Topology – Brin.pdf
│ Introduction to Smooth Manifolds – J. Lee.pdf
│ K-theory for Operator Algebras 2nd ed. – B. Blackadar.djvu
│ Lecture Notes On Elementary Topology And Geometry – Singer,Thorpe.pdf
│ Lectures on Algebraic Topology 2nd ed. – A. Dold.djvu
│ Notes on basic 3-manifold topology – Hatcher, Allen.pdf
│ Notes On The Topology Of Complex Singularities – Nicolaescu.pdf
│ Open Problems In Topology-Jan Van Hill, George Reed.pdf
│ Operator algebras and topology – Schick.pdf
│ Riemannian Geometry – M. doCarmo.pdf
│ Riemannian Geometry, a Beginners Guide – F. Morgan.pdf
│ Theory and problems of general topology – Lipschutz, Seymour.pdf
│ Topics In Topology And Homotopy Theory – Warner.pdf
│ topology 2Ed – James Munkres.pdf
│ Topology & Sobolev Spaces – Brezis.pdf
│ topology – Yan.pdf
│ Topology and functional analysis – Driver.pdf
│ Topology Course lecture notes – A. McCluskey, B. McMaster.pdf
│ Topology for Computing – ZOMORODIAN.pdf
│ Topology Lecture Notes – Ward, Thomas.pdf
│ Topology Without Tears – SIDNEY A. MORRIS.pdf
│ Vector Bundles and K-Theory – A. hatcher.pdf
│
└─useful
Daves Math Tables.pdf
Dictionary of Algebra, Arithmetic and Trigonometry – S. Krantz.pdf
Dictionary of Classical and Theoretical Mathematics.pdf
Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables – M. Abramowitz, I. Stegun.djvu
McGraw Hill Mastering Technical Mathematics 2Ed.pdf
Real Analysis, Quantitative Topology, and Geometric Complexity – S. Semmes.pdf
Schaum’s Mathematical Handbook of Formulas and Tables – Murray R Spiegel.pdf
Standard Mathematical Tables and Formulae 31st Edition – Zwillinger.pdf
Tables of Integrals and Other Math. Data 3rd ed. – H. Dwight.pdf
The Seven Famous Unsolved Math Puzzles.pdf
Well-Posed Linear Systems – O. Staffans.pdf

因为选择，所以喜欢！

如何让word表格不自动分页（整个表格显示在同一页里）

2011-2012世界大学排行榜（前200）

题注编号格式“图 一.1”替换为“图 1.1”

如果读博是你唯一的选择，那么你的心态就会有问题，绝望和不安会伴随你，你也无法做到最好……当有更好的机会的时候，去那个机会比读博更好

作者：(Yale Uninversity) Stephen C. Stearns

黑手语：很长，但是对有志读博做研究的同学很有现实意义，原文为英文，不乐意自己看英文的，已经表示你没有那种为了做学术静下心的潜力了。

母豺救丈夫

University ranking on Bioinformatics

from http://goldbio.blogspot.com/2010/04/ranking-of-university-on-bioinformatics.html

In The Cafeteria, Google Gets Healthy

In The Cafeteria, Google Gets Healthy

1

2

3

4

5

6

第84届奥斯卡提名及获奖影片资源地址汇总

关于word2007 2010中使用endnote插入文献巨卡的问题

4.6G的数学书

题注编号格式“图一.1”替换为“图 1.1”